This video on Backpropagation in Neural Networks will cover how backpropagation and gradient descent play a role in training neural networks. You will learn this using an example of how to recognize the handwritten digits using a neural network. After predicting the results, you will see how to train the network using backpropagation to obtain high accuracy results. You will also understand how to calculate the loss function to measure the error in the model. Finally, you will look at how to find the minimum of a function using gradient descent with a graph’s help.
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