A complete guide to building a deep learning framework from scratch using pure NumPy. Covers matrix math, manual backpropagation, and Pytest.
Building and breaking software
CS undergrad and aspiring ML Engineer. I spend my time studying core machine learning math, practicing DSA, and building AI tools. Writing here to share code, explain architectures, and document my engineering journey
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