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UvA Deep Learning course @UCpvn0ycxIA6Uf8W00OX3frQ@youtube.com

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This is the YouTube channel of the Deep Learning course 2021


19:58
Tutorial 16: Meta-Learning - Learning to Learn (Part 3)
10:25
Tutorial 16: Meta-Learning - Learning to Learn (Part 2)
13:39
Tutorial 16: Meta-Learning - Learning to Learn (Part 1)
09:04
Tutorial 17: Self Supervised Contrastive Learning with SimCLR (Part 2)
21:15
Tutorial 17: Self Supervised Contrastive Learning with SimCLR (Part 1)
17:40
Tutorial 15: Vision Transformers
05:29
Introduction to the Tutorials
19:03
Tutorial 2: Introduction to PyTorch (Part 1)
24:02
Tutorial 2: Introduction to PyTorch (Part 2)
12:37
Tutorial 3: Activation functions (Part 1)
25:29
Tutorial 3: Activation functions (Part 2)
16:04
Tutorial 5: Inception, ResNet and DenseNet (Part 1)
18:38
Tutorial 5: Inception, ResNet and DenseNet (Part 2)
09:31
Tutorial 5: Inception, ResNet and DenseNet (Part 3)
27:26
Tutorial 4: Optimization and Initialization (Part 1)
17:52
Tutorial 4: Optimization and Initialization (Part 2)
17:17
Tutorial 7: Graph Neural Networks (Part 2)
19:12
Tutorial 7: Graph Neural Networks (Part 1)
16:59
Tutorial 6: Transformers and MH Attention (Part 1)
12:05
Tutorial 6: Transformers and MH Attention (Part 2)
13:40
Tutorial 6: Transformers and MH Attention (Part 3)
14:51
Tutorial 8: Deep Energy-Based Generative Models (Part 1)
19:59
Tutorial 8: Deep Energy-Based Generative Models (Part 2)
11:06
Tutorial 9: Deep Autoencoders (Part 1)
12:28
Tutorial 9: Deep Autoencoders (Part 2)
10:51
Tutorial 10: Adversarial Attacks (Part 2)
11:01
Tutorial 10: Adversarial Attacks (Part 1)
08:34
Tutorial 10: Adversarial Attacks (Part 3)
10:29
Tutorial 11: Normalizing Flows (Part 1)
11:20
Tutorial 11: Normalizing Flows (Part 4)
08:06
Tutorial 11: Normalizing Flows (Part 3)
18:41
Tutorial 11: Normalizing Flows (Part 2)
15:21
Tutorial 12: Autoregressive Image Modeling (Part 2)
11:22
Tutorial 12: Autoregressive Image Modeling (Part 1)