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The gradient, step by step

The computational graph of a minimal network, with real numbers: advance the forward pass node by node, then watch the gradient flow backwards with the chain rule written out at every step. Apply the gradients a few times and the loss drops in front of you.

The same mechanics, training on its own

More experiments:

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You can write to me about a project, a technical question, to give me feedback, or about an internship or a first junior role. I always reply.

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