Learn how we can update the weights using backpropagation in neural networks.

What is backpropagation?

Once you have computed the feedforward pass for the given data, train the network using a method called backpropagation. It is a method that allows the neural network to learn from mistakes. This will allow gradient descent to update all weights in the neural network (by taking gradients for all weights).

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