This repository documents a hands-on deep learning journey focused on from-scratch implementations and practical experiments. It covers core concepts such as neural networks, backpropagation, and optimization, and extends to advanced topics including CNNs, GANs, VAEs, attention mechanisms, and Transformer architectures, bridging theory and practice.
asishjose/Deep-Learning
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