Introduction to Deep Learning
Read OriginalThis article presents a structured deep learning curriculum with video lectures and materials. It covers introduction to deep learning, mathematical foundations, neural networks, computer vision applications, language modeling, and deep generative models including autoencoders, GANs, and transformers, all implemented in PyTorch.
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