Forward Pass — Topic Summaries
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Neural Networks from Scratch - P.1 Intro and Neuron Code
Neural Networks from Scratch is built around a single goal: learn how neural networks work deeply enough to understand—not just memorize—what happens...
Neural Networks from Scratch - P.2 Coding a Layer
Neural networks from scratch take shape by treating each neuron as a simple arithmetic unit: multiply each input by its own weight, add a single...
Neural Networks from Scratch - P.4 Batches, Layers, and Objects
Neural-network training shifts from single examples to mini-batches because it improves both speed and learning stability—and the mechanics of that...
Building our Neural Network - Deep Learning and Neural Networks with Python and Pytorch p.3
The core work in this installment is building a complete feed-forward neural network in PyTorch: defining a model class, wiring fully connected...