COMP9444 Notices

Notices

  • myExperience Survey Closing today

    Posted by Sonit Singh Thursday 21 November 2024, 04:45:42 PM.

    Dear Students,

    Thanks to everyone those who have filled the myExperience survey for COMP9444.As of today, we got 40% participation rate.

    Those who have not submitted yet, could you please fill the myExperience Survey as it is closing today. We need at least 50% participation rate to mean meaningful and statistical sense of the survey.

    Please log into https://myexperience.unsw.edu.au/ or to Moodle course page and fill in the survey.

    Kind regards,

    Sonit

  • myExperience closing on 21 Nov

    Posted by Sonit Singh Tuesday 19 November 2024, 04:18:38 PM.

    Dear Students,

    The myExperience survey participation is still very low. We would appreciate if you can spend 5 mins of your time to fill the myExperience survey.

    Please know that myExperience is confidential and your identity is not included in reports. Results of the survey are not made available until your course results are released.

    Log in to https://myexperience.unsw.edu.au/ or to Moodle course page and fill in the survey.

    Kind regards,

    Sonit

  • Peer Review Form| Please don't submit if there are no concerns regarding team members contributions

    Posted by Sonit Singh Monday 18 November 2024, 06:15:59 PM.

    Dear Students,

    Please find the word document for Peer Group Assessment Form.

    You don't have to submit a peer group assessment form if you believe everyone contributed equally (approximate) in your team or there are no concerns regarding someone's contribution in the project.

    UNSW Peer Group Assessment Form - COMP9444.docx

    Once you fill it please email it to cs9444@cse.unsw.edu.au

    The deadline for submitting a peer-review form is 22 November 2024 11:59 pm . Any submissions after 22 November will not be considered for scaling project marks given there is a tight timeline for releasing and uploading marks.

    Kind regards,

    Sonit

  • Fill myExperience Survey (still 20% Participation Rate)

    Posted by Sonit Singh Monday 18 November 2024, 05:55:22 PM.

    Dear Students,

    We have finally finished the term!

    The myExperience survey participation is still very low. We would appreciate if you can spend 5 mins of your time to fill the myExperience survey.

    Please know that myExperience is confidential and your identity is not included in reports. Results of the survey are not made available until your course results are released.

    Log in to https://myexperience.unsw.edu.au/ or to Moodle course page and fill in the survey.

    Kind regards,

    Sonit

  • Project Submissions due today (17 Nov 2024, 5 pm)

    Posted by Sonit Singh Sunday 17 November 2024, 10:24:20 AM, last modified Sunday 17 November 2024, 10:25:45 AM.

    Dear Students,

    Thanks to all teams those who have already sent their project submissions. It's great to see great quality projects work applying neural networks and deep learning to solve real-world problems.

    For those who have not submitted yet, a gentle reminder that Group Project submissions are due today by 5 pm.

    Please send zip file (having presentation, code, and report) to your mentor, cc class email and also cc to all members of the team.

    Note: Only one member of the team needs to send zip file.

    Good luck!

    Kind regards,

    Sonit

  • Pre-Exam Consultation (Wednesday; 12-2 pm; K17-201B)

    Posted by Sonit Singh Friday 15 November 2024, 01:26:06 PM.

    Dear Students,

    Finally, we have the last day of teaching of Term 3, 2024 and I know all of you are pretty busy with wrapping up and submitting your assessments (including group project for COMP9444).

    Given the final exam is on 26 November, 2024, we have scheduled a pre-exam consultation where you can come with any questions related to the course content and we will be there to answer any of your questions . Details below.

    Date: 20 November, 2024

    Time: 12 pm - 2 pm

    Location: K17 Building, Level 2, 201B

    Good luck with your project submissions and revision of the course!

    Cheers,

    Sonit

  • Week 10 Slides and Recordings now Available

    Posted by Sonit Singh Thursday 14 November 2024, 01:23:08 PM.

    Dear Students,

    The slides and video recordings of Week 10 Lectures are now available. Please check WebCMS for slides and demos, Moodle for lecture recordings.

    If you have any further questions, please post on the Ed.

    Kind regards,

    Sonit

  • myExperience Participation very low (10%)

    Posted by Sonit Singh Tuesday 12 November 2024, 02:22:33 PM.

    Dear Students,

    The participation rate for myExperience survey is pretty low (so far only 10%). We need at least 75% participation rate (higher is better) to make meaningful sense of the feedback.

    Therefore, I request you to please log into https://myexperience.unsw.edu.au/ or to Moodle and fill in the survey.

    Kind regards,

    Sonit

  • Week 10 Guest Lecture (Tuesday 9 - 11 am)

    Posted by Sonit Singh Sunday 10 November 2024, 06:51:37 PM.

    Dear Students,

    It's my great pleasure to announce that we have a guest lecture in Week 10. I think it's really a great opportunity to get some industry insights on Generative AI and Multimodal application from our guest speaker. I would like to see you all in Week 10 lectures. Please find details below:

    Title: Generative AI and Multimodal AI Applications

    Abstract : In this guest lecture, we delve into the world of generative and multimodal AI applications. We will explore the mechanics of text-to-image generation models, including the functioning of diffusion models and their fine-tuning using customized datasets. We will discuss the construction of AI applications based on diffusion models and the stable diffusion model's specific tuning methods. The lecture covers the applications of large language models (LLMs) in text generation and will guide us through building a customized chatbot web application using vector databases (VectorDB) and the GPT-4 model. Last but not least, we will discuss future directions in AI, such as explainable AI, logical reasoning in multimodal tasks, and AI ethics, to inspire students' innovative thinking and ethical considerations.

    Bio : Jingying is a research scientist specialising in multimodal and generative AI, with a focus on VQA, multimodal reasoning and explainable AI. She studied her PhD at the AI & Robotics Lab at UNSW. Her research contributions include papers published at NeurIPS, IJCNN, and other conferences. Additionally, she has served as a reviewer for NeurIPS, ECAI, and IJCAI, and co-organized a workshop at IJCNN. She is also a passionate research scientist working in the industry with over six years of active commercial and academic research experience, preceded by years in managerial and technical roles. She has led the development of various AI and Generative AI applications intended for robots aimed at service duties and in financial services.

    Kind regards,

    Sonit

  • Week 10 Activities

    Posted by Sonit Singh Sunday 10 November 2024, 06:39:19 PM.

    Dear Students,

    In Week 10, we have the following activities:

    • Lecture (Tue 9 am- 11 am) having Guest Lecture (details will be announced soon)
    • Lecture (Thu 11 am - 1 pm) covering Generative Artificial Intelligence (GenAI), Deep Learning and Ethics , and Sample Exam Paper
    • Group Project Presentations : Week 10 has the final group project presentations . The schedule of Week 10 group project presentations is available on WebCMS: WebCMS > Project > Project Presentations Schedule . Please find your team name in the file and check room and session time. Also note that all teams must make live presentations and all members must be present during the presentation. If there is any discrepancy, please go to your project mentoring session as per your timetable and deliver project presentation as a team.
    • Fill myExperience Survey : Please fill myExperience survey as it gives us an opportunity to see course and teaching from the students' perspective. We are eager to listen to your feedback and aim to understand and act from your experiences. Please know that myExperience is confidential and your identity is not included in reports. Results of the survey are not made available until your course results are released. https://myexperience.unsw.edu.au/unsw/

    Kind regards,

    Sonit

  • Fill myExperience Survey

    Posted by Sonit Singh Friday 08 November 2024, 04:19:46 PM.

    Dear Students,

    I hope all of you are doing well and enjoying the course as we do!

    As we approach Week 10, it’s time to reflect on your experiences. It would be great if you could spend ~5 mins of your time to fill myExperience survey for COMP9444 . Your valuable feedback is not only important to improve future iterations of this course but also important to showcase teaching abilities and to further improve as a teacher.

    Given the importance of Artificial Intelligence, especially Deep Learning, we have tried my best to deliver foundational algorithms, providing you enough breadth and depth, as well as providing state-of-the-art techniques . We have also introduced lecture on “ vision and language learning ” so that you can learn applications of multimodal learning. Given the importance and relevance of generative technologies, we have introduced guest lecture on “ Generative Artificial Intelligence ” in Week 10. I believe that with good understanding of Convolutional Neural Networks, Recurrent Neural Networks, Language Models, Auto-encoders, Generative Adversarial Networks, Transformer Model, ChatGPT, Stable Diffusion, etc., you have got enough to start building applications using deep learning technologies.

    Given there are around 816 students enrolled in COMP9444 this term, we are doing our best to respond to Ed forums in timely manner, resolving issues sent to emails, accommodating special considerations, equitable learning plans, and adapting your requests about some course logistics. We are thankful for your patience and understanding .

    The myExperience survey is now open, and we would appreciate if you could fill the survey. You can find link to myExperience in Moodle or alternately

    Please log into https://myexperience.unsw.edu.au/ or follow the link in your email to access the survey.

    Cheers,

    COMP9444 Teaching Team

  • Week 9 Slides and Recordings now Available

    Posted by Sonit Singh Thursday 07 November 2024, 02:15:22 PM.

    Dear Students,

    The slides and video recordings of Week 9 Lectures are now available. Please check WebCMS for slides and Moodle for lecture recordings.

    If you have any further questions, please post on the Ed.

    Kind regards,

    Sonit

  • COMP9444 24T3 Final Exam Details

    Posted by Sonit Singh Tuesday 05 November 2024, 02:12:38 PM.

    Dear Students,

    The Final Exam for COMP9444 2024 Term 3 is on 26 November 2024 (Tuesday) (2 pm - 4:15 pm). The final exam is on UNSW Kensington Campus (in-person) and invigilated. Please see details below.

    Date: 26 November 2024

    Day: Tuesday

    Exam Start Time: 2:00 pm

    Reading Time: 15 Minutes

    Exam Duration: 2 hours (2:00 pm – 4:15 pm including reading time)

    Must arrive: 20 minutes before the exam start time

    Room: A separate email will be sent regarding allocated room . Please check your student email and make a note of the room .

    1. Make sure that your laptops (Bring Your Own Device) be fully charged before coming to the Exam as power supply may be limited in rooms that you are allocated in.

    2. You can bring your own power cord or power cable to charge your laptop during the exam , if your laptop can’t last for more than 2.5 hours.

    3. Your laptop must have Secure Exam Browser (SEB) installed prior to your exam day. The instructions are given at the following link. https://www.student.unsw.edu.au/exams/inspera/on-campus

    4. Bring your current UNSW student identification card . Students without an ID card will be required to provide other official photo identification such as a driver's licence or passport at the time of the exam, electronic versions of identification are not permitted. Make sure they are not expired.

    5. Bring pen and UNSW approved calculator as the final exam have numerical questions.

    6. Rough sheets will be provided during the exam .

    7. Reach to the final exam room 20 mins before the final exam start time. Make sure you have logged on to your laptop and you are ready to start, approximately 15 mins before the exam commences.

    8. Join the uniwide WiFi network.

    9. Please read the UNSW exam rules from the link below. https://www.student.unsw.edu.au/exam/rules

    10. No additional resources are allowed as it is a closed book exam.

    11. Make sure you attempt the Sample Exam before the final exam day so that you are familiar with the type of questions and the interface.

    12. The teaching staff will be monitoring the final exam and if you have any questions related to the final exam, please let invigilator know and we will try our best to respond as soon as possible.

    Kind regards,

    COMP9444 Teaching Team

  • Sample Exam now Available

    Posted by Sonit Singh Tuesday 05 November 2024, 02:00:52 PM.

    Dear Students,

    We have now released Sample Exam so that you have better idea of type of questions you can expect in the Final Exam. The Sample Exam is available on WebCMS3.

    WebCMS3 > Sample Exam

    I will go through the sample exam and the Inspera Interface in Thursday's lecture of Week 10.

    Kind regards,

    Sonit

  • Week 9 Activities and myExperience Survey

    Posted by Sonit Singh Monday 04 November 2024, 12:09:29 PM.

    Dear Students,

    In Week 9, we have the following activities:

    • Lectures covering topics on Autoencoders, Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and Multimodal Learning .
    • Group Project Mentoring Session : Please go to your respective mentoring sessions as per the timetable. Detailed project submission guidelines has already been released. Please follow these to wrap up your project work. Please discuss with your mentors if you have any questions.
    • hw1 (assignment 1) and checkpoints (week 1 to week 5) are released today. If you have any concerns, please email cs9444@cse.unsw.edu.au and we will follow up.
    • myExperience Survey now open : Please fill myExperience survey as it gives us an opportunity to see course and teaching from the students' perspective. We are eager to listen to your feedback and aim to understand and act from your experiences.

    Please know that myExperience is confidential and your identity is not included in reports. Results of the survey are not made available until your course results are released.

    You can find link to myExperience in Moodle or alternately

    Please login https://myexperience.unsw.edu.au/ or follow the link in your email to access the survey.

    Cheers,

    COMP9444 Teaching Team

  • hw1 (assignment) and checkpoints (Week 1- Week 5) released

    Posted by Sonit Singh Monday 04 November 2024, 09:03:43 AM.

    Dear Students,

    Thanks for your patience as we were busy marking hw1 and collecting checkpoint marks from your tutors. We are pleased that we have now released hw1 marks. You can check your marks by following instructions given towards the end of the assignment.

    Students who made late submissions may not have received their marks as we need to apply late penalty after incorporating Special Considerations and ELS adjustments.

    If you think there is a calculation error or you have not received your hw1 marks, please send an email to cs9444@cse.unsw.edu.au and we will follow it.

    Kind regards,

    COMP9444 teaching team

  • Project Submission Guidelines

    Posted by Sonit Singh Thursday 31 October 2024, 08:48:13 PM, last modified Wednesday 06 November 2024, 08:09:37 AM.

    Dear Students,

    As we are approaching towards the end of the term, it's important that teams must make substantial progress to deliver quality project on time (Week 10). Here are the submission guidelines for the group project.

    • The final project presentations will be in Week 10 in your respective mentoring sessions . Teams should come to their mentoring sessions as scheduled to present their project work. Course admin will also release timetable for your presentations so that we all are on the same page.
    • Each group/team will get maximum 15 minutes for the project presentation. Your presentation should be of max 12 minutes followed by 3 minutes of Q&A.
    • It is important that all members in the group should show up in the final presentation . Given there are both individual and group-based marks, students will lose marks if they don't show up in the presentation.
    • Two mentors will be marking your presentation based on the marking rubric and the final marks will be the average of the two markers.
    • Each team must make live presentation to the markers . All members of the group must be present during their project presentations and Q&A session.
    • Use project summary report template to fill in details about the project . You can find template in WebCMS under Project.

      WebCMS3 > COMP9444> Project > Project Report Template
    • We highly recommend that on the title slide, group should provide zID and name of each member in the order of their presentation . Also, if someone is presenting online, please turn on your camera so that mentors can recognise who is speaking. They would love to see your faces!
    • Each team must submit their project code (Jupyter Notebook) and project report summary (either in .docx or .pdf format) by 17 Nov 2024 (Sunday) 5:00 pm . You can zip the folder having project code, slide deck, and report, and share it to your mentor’s email and cc all team members (to ensure transparency and consent) and cc cs9444@cse.unsw.edu.au . Please provide group name in the subject of the email. Given large file size, please share via Google Drive or share via Microsoft OneDrive, rather than emailing as an attachment.
    • Given this is a project work and the focus is that all members of the team work together to achieve a common goal, we don't recommend submitting individual notebooks by different students. You must showcase project work as a group activity rather than individual work.
    • Due to diversity of projects and requirements, it is not possible for markers to install and replicate your installation. Therefore, it is important that you should submit Jupyter Notebook(s) with all cells executed so that they can check code as well as output in the notebook itself.

    Below, I am providing email of mentors. Please check who is your mentor and share your zip file with them.

    Hugh Wilson: h.wilson.1@student.unsw.edu.au

    Stefano Mezza: s.mezza@unsw.edu.au

    Zhongsui Guo: zhongsui.guo@unsw.edu.au

    Austin Hoe: austin.hoe@student.unsw.edu.au

    Ziping Chu: ziping.chu@student.unsw.edu.au

    Xiangyu Zhang: xiangyu.zhang2@unsw.edu.au

    Md Mamunur Rahman: md_mamunur.rahaman@unsw.edu.au

    Maryam Hashemi: m.hashemi@unsw.edu.au

    Ramya Kumar: ramya.kumar1@unsw.edu.au

    Jingying Gao: jingying.gao@unsw.edu.au

    Md Akizur Rahman: md_akizur.rahman@unsw.edu.au

    Dipankar Srirag: d.srirag@student.unsw.edu.au

    Raktim Kumar Mondal: r.mondol@unsw.edu.au

    Feiyu Li: feiyu.li@student.unsw.edu.au

    Jing Gong: jing.gong1@student.unsw.edu.au

    Md Mahmudul Hasan: md_mahmudul.hasan@unsw.edu.au

    Jiamin Chang: jiamin.chang@unsw.edu.au

    Duke Nguyen: duke.nguyen@unsw.edu.au

    Kiran Jeet Kaur: kiran_jeet.kaur@student.unsw.edu.au

    Leman Kirme: l.kirme@student.unsw.edu.au

    Malhar Patel: malhar.patel@unsw.edu.au

    Aayush Gupta: aayush.gupta@unsw.edu.au

    Note: It is important that teams must follow these guidelines strictly. If you will not follow them, chances are that your project marking will be delayed or get penalties.

    If I have missed something and if there is any confusion around any points regarding project submission, please let us know either in comments to this announcement (preferred) or discuss with your mentor or send an email to cs9444@cse.unsw.edu.au . We will try to respond within 48 hour window.

    Kind regards,

    Sonit

  • Week 8 Slides and Recordings now Available

    Posted by Sonit Singh Thursday 31 October 2024, 07:13:22 PM.

    Dear Students,

    The slides and video recordings of Week 8 Lectures are now available. Please check WebCMS for slides and demos, Moodle for lecture recordings.

    If you have any further questions, please post on the Ed.

    Kind regards,

    Sonit

  • Week 8 Activities

    Posted by Sonit Singh Monday 28 October 2024, 09:19:22 AM.

    Dear Students,

    In Week 8, we have the following activities:

    1. Lectures : Covering topics on Reinforcement Learning

    2. Group Project Mentoring Sessions : Please attend project mentoring sessions to seek help from mentors regarding the group project.

    I hope all of you are working as part of the team for the group project. If you are not part of any group, please reach out to us by email cs9444@cse.unsw.edu.au so that we can assign you to any existing group.

    3. hw1 marking : Tutors have been marking hw1 submissions and we plan to finish marking by this week and plan to release hw1 marks and checkpoint marks by early next week. I will make announcement after we release hw1 and checkpoint marks, so stay tuned.

    Have a productive and prosperous week ahead!

    Kind regards,

    Sonit

  • Week 7 Slides, Demos, and Recordings now Available

    Posted by Sonit Singh Thursday 24 October 2024, 03:41:13 PM.

    Dear Students,

    The slides, demos, and video recordings of Week 7 Lectures are now available. Please check WebCMS for slides and demos, Moodle for lecture recordings.

    If you have any further questions, please post on the Ed.

    Kind regards,

    Sonit

  • Week 7 Activities

    Posted by Sonit Singh Monday 21 October 2024, 07:26:24 PM.

    Dear Students,

    In Week 7, we have the following activities:

    1. Lectures : Covering topics on Word Embeddings (Word2Vec and Glove) and Large Language Models (LLMs)

    2. Group Project Mentoring Sessions : Please check timetable available on WebCMS under

    WebCMS > Project > Group Project Mentoring Timetable

    Please attend these mentoring sessions to seek help from mentors regarding the group project. You need to update mentors about your project progress and also give team members an opportunity to meet, plan, and discuss activities related to the project work.

    3. Project Checkpoints : As we transition to the group project mentoring sessions, there are checkpoints for the group project in Week 7, Week 8, and Week 9. These checkpoints will help teams to make consistent progress before you make final project presentations in Week 10 in your respective mentoring sessions (more details on this later).

    As always, if you have any questions, please post it on the Ed.

    Kind regards,

    Sonit

  • Group Project Mentoring Timetable now Available

    Posted by Sonit Singh Wednesday 16 October 2024, 06:45:33 PM.

    Dear Students,

    Thanks for your patience while we were working on this. The group project mentoring timetable is now available on WebCMS.

    WebCMS > Project > Group Project Mentoring Timetable

    Each page has timetable for one mentoring session. You can find Room, Session Time, Mentor Name, Project ID, Project title, Group Name, and all members in your group.

    Note: Project Mentoring Sessions starts in Week 7. Please attend these sessions as a group.

    We have tried our best to come up with the best timetable based on your preferences. However, you can understand that satisfying each constraint is not feasible nor possible given large number of students (824), mentors, and sessions.

    If you have any issues, please send an email to class account ( cs9444@cse.unsw.edu.au ).

    Kind regards,

    Sonit

  • Week 6 Activities

    Posted by Sonit Singh Monday 14 October 2024, 09:08:28 AM.

    Dear Students,

    In Week 6, we have the following activities:

    1. There will be no lectures in Week 6 (Flex Week).

    2. There will be no tutorials/project mentoring sessions in Week 6 (Flex Week).

    2. Group Project Mentoring Sessions start in Week 7 . We are in the process of finalising the group project mentoring timetable based on your data on WebCMS. We will release it on WebCMS (more information on this later). I highly encourage every team member to contribute and keep working even in Week 6 on the group project.

    3. Assignment 1 (hw1) deadline is tomorrow: Tuesday 15 October 2024, 5:00 pm

    4. Use cs9444@cse.unsw.edu.au (class email) and not our individual emails for any personal queries.

    As always, if you have any questions, please post it on the Ed.

    Kind regards,

    Sonit

  • Week 5 Tutorial Sample Solution Available

    Posted by Sonit Singh Saturday 12 October 2024, 08:35:57 AM.

    Dear Students,

    The sample solution along with its video for Week 5 tutorial is available under WebCMS > Course Work > Tutorials > Week 5.

    Regards,

    Sonit

  • Week 5 Slides, Demos, and Recordings now Available

    Posted by Sonit Singh Thursday 10 October 2024, 02:02:47 PM.

    Dear Students,

    The slides, demos, and video recordings of Week 5 Lectures are now available. Please check WebCMS for slides and demos, Moodle for lecture recordings.

    If you have any further questions, please post on the Ed.

    Kind regards,

    Sonit

  • Week 5 Slides, Demos, and Recordings now Available

    Posted by Sonit Singh Thursday 10 October 2024, 02:02:46 PM.

    Dear Students,

    The slides, demos, and video recordings of Week 5 Lectures are now available. Please check WebCMS for slides and demos, Moodle for lecture recordings.

    If you have any further questions, please post on the Ed.

    Kind regards,

    Sonit

  • Week 5 Lecture 1 slides and recording now Available

    Posted by Sonit Singh Tuesday 08 October 2024, 01:31:24 PM, last modified Tuesday 08 October 2024, 01:31:34 PM.

    Dear Students,

    The slides and video recording of Week 5 Lecture 1 are now available. Please check WebCMS for slides and Moodle for lecture recordings.

    If you have any further questions, please post on the Ed.

    Kind regards,

    Sonit

  • Object detection, Semantic and Instance segmentation recordings Available

    Posted by Sonit Singh Tuesday 08 October 2024, 01:29:01 PM.

    Dear Students,

    Since we have listed few projects on object detection and semantic segmentation in the "Projects List" and many teams are working on these problems for the group project, I thought of releasing the recordings of these topics on the Ed.

    Please go through the recordings and it will answer questions such as how you can detect objects in an image, how many objects are there in an image, how can you separate certain class, etc.

    Recordings are available on Ed (as these are from Computer Vision course I taught last term). You may find audio bit off occasionally as these lectures were give in a big lecture theatre (last term there were about 750 students enrolled in the course) and I was moving away from the lectern/podium.

    Cheers,

    Sonit

  • Week 4 Tutorial Sample Solution Available

    Posted by Sonit Singh Sunday 06 October 2024, 07:55:18 AM.

    Dear Students,

    The sample solution along with its video for Week 4 tutorial is available under WebCMS > Course Work > Tutorials > Week 4.

    Regards,

    Sonit

  • Week 4 Lecture Slides, Demos, and Recordings now Available

    Posted by Sonit Singh Thursday 03 October 2024, 05:13:45 PM.

    Dear Students,

    The slides, demos, and video recordings of Week 4 Lectures are now available. Please check WebCMS for slides and demos, Moodle for lecture recordings.

    If you have any further questions, please post on the Ed.

    Kind regards,

    Sonit

  • Week 4 Lecture 1 Slides, Demo, and Recording now Available

    Posted by Sonit Singh Tuesday 01 October 2024, 12:22:32 PM.

    Dear Students,

    The slides and demo of Week 4 Lecture 1 are now available under WebCMS3 > Course Work > Lectures > Week 4.

    Also, Week 4 Lectures Recordings are now available on Moodle. You can view via login to Moodle > COMP9444 24T3 course page > Lecture Recordings (Tuesday)

    Kind regards,

    Sonit

  • Week 4 Activities

    Posted by Sonit Singh Monday 30 September 2024, 12:31:43 PM.

    Dear Students,

    In Week 4, we will be having the following activities:

    • Lectures covering topics on Convolutional Neural Networks and Image Processing
    • Tutorial (go to your respective tutorial) for questions on Softmax and Hidden unit dynamics
    • Assessments: Assignment 1 has been released. The deadline is 15 October 2024 5:00 pm
    • Finalise team for the group project.
      • Each team should have 5 members (Ideally 5 members, no more than 5 members are allowed, no less than 4 members are allowed)
      • Once you have a team of 5 members, you can create a group on WebCMS.
      • Check the projects list and choose an interesting project.
      • Add project ID, Title, and time preferences on WebCMS
      • Please give a sensible name to your group.
    • Creating Group Types
      • Go to "Groups" > "Group Types".
      • Click "Create".
      • Fill in the fields as required.
      • Click "Create".
    • Join an Existing Group
      • Discuss with members of the existing group.
      • Click on "Join" to join an existing group.

    Note: At the moment, more than 200 students are not part of any team. The deadline to form a team for group project is Week 4 . Please be part of the existing team (if there are less than 5 members, always check with existing members before you join the group). Otherwise, make a post on Ed and get 5 members and then create a new group on the WebCMS. Given Week 4 checkpoint is to finalise your team, finalise project, and have good understanding of the project, so make sure do this to get checkpoint mark.

    As always, if you have any questions, please post it on the Ed forum.

    Cheers,

    Sonit

  • Week 3 Tutorial Sample Solution Available

    Posted by Sonit Singh Sunday 29 September 2024, 10:15:00 AM.

    Dear Students,

    The sample solution along with its video for Week 3 tutorial is available under WebCMS > Course Work > Tutorials > Week 3.

    Regards,

    Sonit

  • Week 3 Lecture slides, Demos, and Recordings now available

    Posted by Sonit Singh Thursday 26 September 2024, 01:43:45 PM.

    Dear Students,


    The slides of Week 3 Lectures and Demos are available under WebCMS > Course Work > Lectures > Week 3.

    You can also watch recordings of Week 3 lectures on Echo360. You can access these recordings via Moodle through "Lecture Recordings" icon.

    If you have any questions, please post it on the Ed.

    Cheers,

    Sonit

  • Assignment 1 (hw1) now available

    Posted by Sonit Singh Thursday 26 September 2024, 01:20:18 PM.

    Dear Students,

    Assignment 1 (hw1) has been released and is now available on WebCMS.

    WebCMS > Assignment 1 > hw1-Characters and Hidden Unit Dynamics

    You can also find the hw1 report template.

    WebCMS > Assignment 1 > hw1 report template

    Deadline :

    The assignment is due on 15 October 2024 5:00 pm .

    How to submit hw1 :

    You can use VLAB and open the terminal and type the following command to submit your assignment using give. Make sure you have all the files in the working directory.

    You should submit by typing

    give cs9444 hw1 kuzu.py check.py hw1.pdf

    You can read more about the VLAB here https://taggi.cse.unsw.edu.au/Vlab/

    Alternatively, you can use web-version of give to submit your assignment

    https://cgi.cse.unsw.edu.au/~give/Student/give.php

    After the submission you can check status of your submission via typing:

    9444 classrun -check hw1

    Cheers,

    Sonit

  • Week 3 Activities

    Posted by Sonit Singh Tuesday 24 September 2024, 03:34:53 PM.

    Dear Students,

    In Week 3, we will be having the following activities:

    • Lectures covering topics on Cross Entropy, Softmax, Weight Decay, Momentum, and Hidden Unit Dynamics
    • Tutorial (go to your respective tutorial) for questions on Probability, Entropy, KL Divergence, Wasserstein Distance, Overfitting and Generalisation.
    • Assessments: Assignment 1 will be released on Thursday. We will go through these details in Week 3 Thursday lecture. Please attend or watch recordings to know details about the assessments.
    • Form team for the group project.
      • Each team should have 5 members (Ideally 5 members, no more than 5 members are allowed, no less than 4 members are allowed)
      • Once you have a team of 5 members, you can create a group on WebCMS.
      • Check the projects list and choose an interesting project.
      • Add project ID, Title, and time preferences on WebCMS
      • Please give a sensible name to your group.
    • Creating Group Types
      • Go to "Groups" > "Group Types".
      • Click "Create".
      • Fill in the fields as required.
      • Click "Create".
    • Join an Existing Group
      • Discuss with members of the existing group.
      • Click on "Join" to join an existing group.

    Note: At the moment, more than 300 students are not part of any team. The deadline to form a team for group project is Week 4 . Please be part of the existing team (if there are less than 5 members, always check with existing members before you join the group). Otherwise, make a post on Ed and get 5 members and then create a new group on the WebCMS.

    As always, if you have any questions, please post it on the Ed forum.

    Cheers,
    Sonit

  • Week 3 Lecture 1 Slides and Recording now Available

    Posted by Sonit Singh Tuesday 24 September 2024, 01:34:04 PM.

    Dear Students,

    The slides of Week 3 Lecture 1 are available under WebCMS3 > Course Work > Lectures > Week 3.

    Also, Week 3 Lectures Recordings are now available on Moodle. You can view via login to Moodle > COMP9444 24T3 course page > Lecture Recordings (Tuesday)

    Kind regards,

    Sonit

  • Week 2 Tutorial Sample Solution Available

    Posted by Sonit Singh Saturday 21 September 2024, 05:29:56 PM.

    Dear Students,

    The sample solution along with its video for Week 2 tutorial is available under WebCMS > Course Work > Tutorials > Week 2.

    Regards,

    Sonit

  • Consultation (CSE HELP Session) on Tuesday 1-2 pm in Quadrangle 1049

    Posted by Sonit Singh Thursday 19 September 2024, 04:17:10 PM.

    Dear Students,

    We are opening a weekly consultation session wherein you can meet teaching staff (me or Alan) to ask any course related questions or need help regarding assessments . This is not a compulsory session and is mainly for people who have any questions related to the course or assessments.

    I checked the class utilisation details and found that most of the COMP9444 students are available on Tuesday (1-2pm), so I've scheduled consultation session at this time.

    Duration: Week 3 to Week 10
    Day: Tuesday
    Time: 1-2pm
    Room: E15 Building - Quad 1049

    If you have any questions, feel free to come along and we can discuss during the consultation session.

    Kind regards,

    Sonit

  • Tutorial 1 Sample Video Solution now available

    Posted by Sonit Singh Thursday 19 September 2024, 02:08:19 PM.

    Dear Students,

    I hope your first week's tutorial were both exciting and enriching. The sample solution along with its video for Week 1 tutorial is available under WebCMS > Course Work > Tutorials > Week 1.

    Please note that these videos were recorded last term and I believe most of the questions and covered topics are relevant and applicable to this term as well. However, any specific comments related to course logistics and assessments may not be directly applicable.

    If you have any questions, please post on the Ed.

    Kind regards,

    Sonit

  • Week 2 Lecture Slides and Recordings now Available

    Posted by Sonit Singh Thursday 19 September 2024, 01:57:01 PM.

    Dear Students,

    The slides of Week 2 Lectures are available under WebCMS3 > Course Work > Lectures > Week 2.

    Also, Week 2 Lectures Recordings are now available on Moodle. You can view via login to Moodle > COMP9444 24T3 course page > Lecture Recordings (either Tuesday or Thursday)

    Kind regards,

    Sonit

  • Week 2 Activities

    Posted by Sonit Singh Monday 16 September 2024, 11:53:56 AM.

    Dear Students,

    In Week 2, we will be having the following activities:

    • Lectures (Tue 9 am- 11am; Thu 11am-1pm) covering topics on Probability, Generalisation, Overfitting, and an overview of PyTorch
    • Tutorial (go to your respective tutorial) for understanding and applying Backpropagation by hand. Also, there will be paper discussion on AlexNet.
    • Form team for the group project.
      • Each team must have 4 or 5 members (no more than 5 or less than 4 members are allowed)
      • The projects list is on WebCMS3. You can access under: WebCMS3 > Project > Projects List. As a team you have the flexibility to choose an interesting project. Multiple teams can choose the same project topic, so don't worry if you find other team is doing a similar project.
      • We will be using the same list from previous term. Although we will add more projects to the list, I believe they will not be ready by Week 7, which is quite late for the project work to start, so please choose from the existing list.
      • Once you have a team of 5 members, you can create a group on WebCMS.
      • Please give a sensible name to your group.
    • Creating Group Types
      • Go to "Groups" > "Group Types".
      • Click "Create".
      • Fill in the fields as required (please watch first lecture recording if you are unsure)
      • Click "Create".

    Join an Existing group

    • Discuss with members of the existing group.
    • Click on "Join" to join an existing group.

    As always, if you have any questions, please post it on the Ed forum and we will try to respond within 24 hours.


    Cheers,

    Sonit

  • Week 1 Tutorial Sample Solution and Week 2 Tutorial Questions are now available

    Posted by Sonit Singh Saturday 14 September 2024, 10:17:06 AM.

    Dear Students,

    Week 1 Tutorial Sample Solution is now available on WebCMS. Please go through it in case you have not attempted all the questions during your tutorial time.

    Also, Week 2 Tutorial Questions are now available.

    Kind regards,

    Sonit

  • Week 1 Lecture 2 Slides and Recording now Available

    Posted by Sonit Singh Thursday 12 September 2024, 02:02:47 PM.

    Dear Students,

    The slides of Week 1 Lectures are available under WebCMS3 > Course Work > Lectures > Week 1.

    Also, Week 1 Lectures Recordings are now available on Moodle. You can view via login to Moodle > COMP9444 24T3 course page > Lecture Recordings (either Tuesday or Thursday)

    Kind regards,

    Sonit

  • Week 1 Lecture 1 Slides and Recording now Available

    Posted by Sonit Singh Tuesday 10 September 2024, 11:23:15 AM.

    Dear Students,

    The slides of Week 1 Lectures are available under WebCMS3 > Course Work > Lectures > Week 1.

    Also, you can watch lecture recordings via login to Moodle > COMP9444 24T3 course page > Lecture Recordings (either Tuesday or Thursday) [See below]

    Kind regards,

    Sonit

  • Week 1 Tutorial Questions now available

    Posted by Sonit Singh Monday 09 September 2024, 01:29:48 PM.

    Dear Students,

    Week 1 tutorial questions and exercises are now available. Your tutors will go through the tutorial questions and also allow you time to finish coding exercises within the tutorial.

    They are available as follows:

    WebCMS > Course Work > Tutorials > Tutorial1- Questions

    Ed > Lessons > Week 0

    Ed > Lessons > Week 1: 1c: Tensors

    Regards,

    Sonit

  • Tutorials time and assigned tutors

    Posted by Sonit Singh Friday 06 September 2024, 03:45:23 PM.

    Dear Students,

    I can see lot of posts from students regarding team formation for the group project. I think there is a confusion, so thought of posting an announcement rather than answering them individually.

    Ideally we want students to form a team within the same tutorial. This will help you to meet new people, learn from their strengths and complement theirs, foster collaboration, and improve coordination, all of which are important aspects of a group project. While at the beginning, you might find that this is not going to work, research shows that these are important skills as you will work with new people at your workplace when you graduate. In workplace, you will work with people from diverse backgrounds, have different working habits, and different ambitions, but research shows that working with diverse people promote better creativity, problem-solving, and decision-making.

    However, we will be accommodating minimal changes where students want to form team across different tutorial groups. For that to happen, particular members should be happy to move to other members' tutorial time so that then they are in the same tutorial group. Basically, we will do some internal swaps without changing too much of the timetable. So, don't worry about this at this moment and enjoy your lectures and tutorials. I will provide more details when we actually start the project work.

    Below is the list of all tutorials/mentoring sessions along with the assigned tutors.

    Note: Central teams are adding more students so there might be an additional two tutorials, so this table is accurate as of today.

    You can check your tutorials timetable on Moodle and also on WebCMS. This is just additional information about which tutor is taking your tutorial.

    Kind regards,
    Sonit

  • Course Activities

    Posted by Sonit Singh Friday 06 September 2024, 11:02:37 AM.

    Dear Students,

    We have the following activities throughout the term:

    1.Lectures

    Lecture A: Tuesday (9am - 11am); Mathews Theatre A (K-D23-Theatre A)

    Lecture B: Thursday (11am-1pm); Mathews Theatre A (K-D23-Theatre A)

    2. Tutorials/Project Mentoring Sessions

    Check your timetable for your respective sessions. There are exercises which you must attempt and show to your tutors/mentors in your respective tutorials/project mentoring sessions to get 1 mark which accounts for your class participation mark. Tutorials questions will be released on every Friday for the upcoming week’s tutorial. Following table shows list of various exercises for all the weeks and marks distribution.

    We make these changes based on students’ feedback from the past few terms as many students struggle to work consistently throughout the term on the group project. These checkpoints are designed to make sure you are keeping up with weekly tasks and consistently taking actions to learn the technical material, and the skills required for the successful completion of the assignment and the group project. Each checkpoint is worth 1\% of your final grade. You will need to show your work to your tutor during the tutorial or mentoring session to get the weekly checkpoint mark. If you are not able to make up for a particular tutorial for any valid reasons, you can always show your work to your tutor/mentor in the next tutorial.

    3. Assessments

    Assignment : The assignment will be released in Week 3 and due towards the end of Week 5.

    Group Project: It is suggested to start group project early. If you see the above table, you can notice that we have bold text which are skills and checkpoints for successful completion of the group project. Students should form a team (4 or 5 members) within the same tutorial. The tutors/mentors will be guiding you throughout the term for the successful completion of the group project.

    Final Exam: The final exam will be in-person and invigilated at UNSW Kensington campus (more details on this later).

    4. Additional Resources

    Throughout the term, we will be sharing additional resources ( WebCMS3 > Additional Resources ), which can help you to have deeper understanding of the taught concepts and help you to know what current and state-of-the-art deep learning algorithms. It is recommended that you should read these additional resources.

    We will be going through all these details in the first lecture. This term we have more than 850 students. While we strive to provide you all a memorable and enjoyable learning experience, please bear with us as managing large classes is a big challenge.

    Kind regards,

    Sonit

  • COMP9444 Learning Platforms

    Posted by Sonit Singh Thursday 05 September 2024, 08:15:13 AM.

    Dear Students,

    As we navigate through the excitement of O-Week and look forward to the first lecture, please make sure that you have access to course materials across various learning platforms. We will be making use of mainly three learning platforms:

    • Moodle: If you are officially enrolled in the course, you will get default access to the Moodle course page. Please Login to Moodle and make sure you can access course page "COMP9444-Neural Networks, Deep Learning - 2024 T3". We will be using Moodle only for Echo360 (lecture recordings) and for filling myExperience survey towards the end of the term.
    • WebCMS3: Again, if you are officially enrolled in the course, you will get access to the WebCMS3 course page. On WebCMS, you can check Course Outline (see left menu items) and timetable (for lectures and tutorials). We will be releasing lecture slides (under Lectures) before the actual lectures (except first lecture)
      https://webcms3.cse.unsw.edu.au/COMP9444/24T3/
    • Ed: Click on the link "Ed Link for the Course" and login to Ed. Familiarise yourself of Ed (mainly Discussions and Lessons), see icons on the top right of this Ed page. Please note that access to Ed platform is not automated and we need to manually add you to the course Ed page.

    If you have any issues accessing Ed platform, please send an email to cs9444@cse.unsw.edu.au and we will follow it up.

    I hope all of you will ensure that you have access to these learning platforms before our first lecture.

    Kind regards,

    Sonit Singh

  • Welcome to COMP9444

    Posted by Sonit Singh Thursday 05 September 2024, 07:57:21 AM.

    Hi Everyone,

    A very warm welcome to COMP9444: Neural Networks and Deep Learning.

    On behalf of COMP9444 teaching team, I am very pleased to have you for this term, and I hope you are going to find this course interesting and engaging as I do.

    Neural Networks and Deep Learning plays a critical role in pushing the boundaries of what AI can achieve, making them indispensable for various industries and applications. Their ability to learn and adapt from data has revolutionized many fields and opened new opportunities for solving complex problems. This course provides an introduction to and deep exploration of neural networks and deep learning principles and practice.

    This is Orientation Week (O-Week) and here are some suggestions for what you can do this week to ensure that you are well prepared for when the course starts.

    • Familiarise yourself with the course structure and the assessment tasks – you can all the information in the course outline
    • Start to think about how AI is encountered by you in your daily life and technologies underpinning those applications. Think about Apple’s FaceIDss, Voice assistants such as Siri, Alexa, or Cortana, smart home device, AI in banking, recommender systems on Netflix or ecommerce websites.
    • Given the AI revolution is gathering even more pace and opening a new world of opportunities, think about what future look like and what does it mean for the future of work.
    • Start to think about how you can embrace AI in your workplace and what benefits it can bring to the organization.

    We will be using Ed discussion forum for any general questions. Please use the discussion forum on the Ed if you have any questions and teaching team will respond within 48 hours window.

    For any specific question (having your personal information), please use class email: cs9444@cse.unsw.edu.au

    The best way to get the most out of this course is to:

    • Read through the materials and watch embedded videos before each lecture
    • Complete quizzes and coding exercises
    • Writing and running your own computer programs in PyTorch
    • Asking questions and contribute to discussions on the Ed forum
    • Consider further exploring topics of particular interest
    • Participate in your tutorials (Week 1 to Week 5) and project mentoring sessions (Week 7 to Week 10)

    Good luck with this course. I look forward to getting to know each of you and to a stimulating and productive learning journey!

    With my very best wishes for a fabulous journey!

    Regards,

    Sonit Singh and COMP9444 teaching team

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