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The Math of Training Neural Networks
- Backpropagation is an algorithm used to train neural networks.
- It works by calculating the gradients of the loss function with respect to each weight in the network.
- The process involves a forward pass, backward pass, and weight update steps.
- Backpropagation enables neural networks to learn from their mistakes and improve over time.
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