Pytorch for Neural Networks Part 2: Initializing Weights and Biases
SMRTR summary
Weights and biases in PyTorch are defined as tensor parameters, letting PyTorch track and optimize them during training. Set `requires_grad=False` to freeze a parameter, then define the forward pass.
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