Swift Talk 495 Building a Language Model: Gradient Descent We make the forward pass differentiable, building a graph that backpropagation walks in reverse to compute gradients. Gradient descent uses those to train the network, updating weights to reduce loss. talk.objc.io/episodes/S01...

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