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| 18/3 |
Introduction to Deep Learning 1 (Neural networks, Training)
|
Assaf |
Intro 1+2
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| 25/3 |
Introduction to Deep Learning 2 (CNNs, RNNs, GANs etc.)
|
Assaf |
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| 1/4 |
No class (Passover)
|
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| 8/4 |
Detection and segmentation
|
Liad Polak & Sivan Biham |
Detection and segmentation
|
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| 15/4 |
Advanced GANs
|
Adam Yaari & Amnon Geifman |
Advanced GANs
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| 22/4 |
Caspule networks
|
Niv Haim & Ben Feinstein |
CaspNets
|
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| 29/4 |
Improving time and memory efficiency
|
Adir Morgan & Jaeyoung Chun |
Efficiency
|
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| 6/5 |
VQA to Visual Dialogue
|
Sefi Bell Kligler & Akhiad Bercovich |
VQA
|
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| 13/5 |
Analyzing and visualizing the loss of neural nets
|
Ilay Luz & Yossi Gandelsman |
Visualizing and analyzing
|
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|
| 20/5 |
No Class (Shavuot)
|
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| 27/5 |
Advanced RNNs
|
Guy Gaziv & Roman Bailey |
Part 1
Part 2
|
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| 3/6 |
Special architectures for non-local CNNs
|
Nitzan Artzi & Gil Pinsky |
|
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|
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| 10/6 |
Relations and compositions
|
Sagiv Elyahu & Yuval Bussi |
CompositionsRelations
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| 17/6 |
No class (CVPR)
|
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|
| 24/6 |
No class (CVPR)
|
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|
| 1/7 |
Domain Transfer
|
Kenny Green & Rotem Shaul & Chang Liu |
Domain Transfer
|
Spring 2018