Weizmann Institute of Science20234031 Deep Learning for Computer Vision:Fundamentals and Applications |
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Winter 2022/3 |
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This schedule is preliminary and subject to change as the term evolves.
Lecture | Date | Topic | Instructor | Course Materials | Assignments |
Week 1 | |||||
1 | Mon 07/11/2022 | Introduction. Basics of ML | Assaf | slides (pdf) | a1 out |
2 | Wed 09/11/2022 | Classification methods | Dana | slides (pdf) | |
Week 2 | |||||
3 | Mon 14/11/2022 | Neural networks | Assaf | slides (pdf) | |
4 | Wed 16/11/2022 | PyTorch | Dana | slides (pdf) | |
Week 3 | |||||
5 | Mon 21/11/2022 | Convolutional neural networks | Assaf | slides (pdf) |
a1 due a2 out |
- | Wed 23/11/2022 | Sigd: No Class |
Week 4 | |||||
6 | Mon 28/11/2022 | Practical training | Shai |
slides (pdf) weight init notebook |
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7 | Wed 30/11/2022 | Architectures | Dror | slides (pdf) |
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Week 5 | |||||
8 | Mon 05/12/2022 | Visualizing and understanding neural networks | Tali | slides (pdf) | |
9 | Wed 07/12/2022 | Advanced PyTorch | Yaniv | slides (pdf) |
a2 due a3 out |
Week 6 | |||||
10 | Mon 12/12/2022 | Adversarial examples | Niv | slides (pdf) | |
Final project: What, how and when | Shai | final project page | |||
11 | Wed 14/12/2022 | Detection and Segmentation (I) | Shai | slides (pdf) | |
Week 7 | |||||
12 | Mon 19/12/2022 | Generative Models | Assaf | slides (pdf) | |
13 | Wed 21/12/2022 | RNN and Attention | Shai | slides (pdf) | |
Week 8 | |||||
14 | Mon 26/12/2022 | Vision Transformers | Shai | slides (pdf) | |
15 | Wed 28/12/2022 | Detection and segmentation (II) | Niv | slides (pdf) |
a3 due a4 out Final project: technical milestone |
Week 9 | |||||
16 | Mon 02/01/2023 | Advanced Generative Models | Tali | slides (pdf) | |
17 | wed 04/01/2023 | Self supervision (I) | Tali | slides (pdf) | |
Week 10 | |||||
18 | Mon 09/01/2023 | Self supervision (II) | Yaniv | slides (pdf) | |
19 | Wed 11/01/2023 | Computer Graphics and Rendering | Meirav | slides (pdf) | |
Week 11 | |||||
- | Mon 16/01/2023 | Israel Computer Vision Day | Registration | ||
20 | Wed 18/01/2023 | Implicit 3D representations (I) | Meirav | slides (pdf) | a4 due |
Week 12 | |||||
21 | Mon 23/01/2023 | Implicit 3D representations (II) | Dror | slides (pdf) | |
22 | Wed 25/01/2023 | Multi GPU + Mixed Precision | Shai | slides (pdf) | Final project proposal |
Week 13 | |||||
23 | Mon 30/01/2023 | Theory (Guest lecture) | Ohad Shamir | ||
24 | Wed 01/02/2023 | - | - | ||
Week 14 | |||||
25 | Mon 06/02/2023 | Learning from videos | Tali | slides (pdf) | |
26 | Wed 08/02/2023 | Image and Text | Rafail | slides (pdf) | |
Exam period | |||||
- | Wed 15/02/2023 | Final project milestone | |||
- | Sun 19/03/2023 @ 12:00 |
Final project due | |||
- | Mon 20/3/2023 | Final projects expo |