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Neural Net Optimization, Part 3 — PyTorch and PyTorch Lightning
The third in a four-part series on neural network optimization, focusing on PyTorch fundamentals, abstraction with PyTorch Lightning, and the ongoing challenge of hyperparameter tuning.
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Neural Net Optimization, Part 2 — PyTorch Writ Small
The second in a four-part series on neural network optimization, focusing on PyTorch fundamentals and how to implement PyTorch on a per neuron level.
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Neural Net Optimization, Part 1 — The Computational Graph
The first in a four-part series exploring neural network optimization, starting from scratch with a toy computational graph and building up to scalable, practical ML systems.