Neural Networks: backpropagation, loss/cost function, gradient | AI & Data Science

Neural Networks: backpropagation, loss/cost function, gradient descent, optimizers

In the last post dedicated to neural networks we covered the basics of neural networks which includes layers, weights, bias and activation functions. Today we are going to dive deeper in the world of neural networks by introducing backpropagation, loss/cost function, gradient descent and optimizers.

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