Tutorial notebooks

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Curated by: UvA Deep Learning course (34 videos)

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Tracks in this Playlist

• Introduction to the Tutorials
• Tutorial 2: Introduction to PyTorch (Part 1)
• Tutorial 2: Introduction to PyTorch (Part 2)
• Tutorial 3: Activation functions (Part 1)
• Tutorial 3: Activation functions (Part 2)
• Tutorial 4: Optimization and Initialization (Part 1)
• Tutorial 4: Optimization and Initialization (Part 2)
• Tutorial 5: Inception, ResNet and DenseNet (Part 1)
• Tutorial 5: Inception, ResNet and DenseNet (Part 2)
• Tutorial 5: Inception, ResNet and DenseNet (Part 3)
• Tutorial 6: Transformers and MH Attention (Part 1)
• Tutorial 6: Transformers and MH Attention (Part 2)
• Tutorial 6: Transformers and MH Attention (Part 3)
• Tutorial 7: Graph Neural Networks (Part 1)
• Tutorial 7: Graph Neural Networks (Part 2)
• Tutorial 8: Deep Energy-Based Generative Models (Part 1)
• Tutorial 8: Deep Energy-Based Generative Models (Part 2)
• Tutorial 9: Deep Autoencoders (Part 1)
• Tutorial 9: Deep Autoencoders (Part 2)
• Tutorial 10: Adversarial Attacks (Part 1)
• Tutorial 10: Adversarial Attacks (Part 2)
• Tutorial 10: Adversarial Attacks (Part 3)
• Tutorial 11: Normalizing Flows (Part 1)
• Tutorial 11: Normalizing Flows (Part 2)
• Tutorial 11: Normalizing Flows (Part 3)
• Tutorial 11: Normalizing Flows (Part 4)
• Tutorial 12: Autoregressive Image Modeling (Part 1)
• Tutorial 12: Autoregressive Image Modeling (Part 2)
• Tutorial 15: Vision Transformers
• Tutorial 16: Meta-Learning - Learning to Learn (Part 1)
• Tutorial 16: Meta-Learning - Learning to Learn (Part 2)
• Tutorial 16: Meta-Learning - Learning to Learn (Part 3)
• Tutorial 17: Self Supervised Contrastive Learning with SimCLR (Part 1)
• Tutorial 17: Self Supervised Contrastive Learning with SimCLR (Part 2)