Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
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Updated
Oct 2, 2020 - Jupyter Notebook
Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
collaboratively curated repository compiling and synthesizing lectures courses and texts on foundational mathematics for artificial intelligence contributors are encouraged to engage critically and refine the material
A scalar-valued autograd engine implemented from scratch in Python. Replicates Torch's logic to demonstrate backpropagation fundamentals.
📐 First-principles mathematical modeling — 15 topics: dynamical systems, SIR epidemic models, ODEs, optimization, game theory, simulation & data-driven modeling. All with Jupyter notebooks.
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