Backpropagation Part 1
We'll cover the following
Backpropagation involves the steps of updating the Neural Network weights while training the Neural Network on the training dataset, and it updates the weights in such a way that the total error for the problem under consideration is minimized.
What is backward pass
It involves propagating the error (calculated at the output layer) backwards to the layers and updating the weights.