Deep Learning 3A

Mention Information and Communications Engineering

Lecture 1: Introduction, MLP, Backprop.
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Lecture 2: Convolutional Neural Networks.
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Lecture 3: Transformers 1: Sequence models, (Self-)Attention.
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Lecture 4: Transformers 2: Encoder-Decoder, Vision Transformers.
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Lecture 5: Training Neural Nets: Regularization, Stabilization.
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Lecture 6: Generative Models (Autoencoders, Diffusion).
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Lecture 7: Some Aspects of Large Language Models.
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Project: Music genre classification
Deadline: 30th November