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Neural network (2 layer)
It's time to build neural network, with one hidden layer. You will see that there is no big difference between this model and logistic regression.
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NN forward prop and cost
In previous tutorial we initialized our model parameters. In this part we'll for this we'll use cache computed during forward propagation.
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NN backward propagation
In this tutorial part we'll write backward propagation and parameters update function using cache computed during forward propagation.
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NN (OHL) final model
So we came to the last tutorial part where we'll build our final neural network model in nn_model(). We'll use previous functions in the right order.