Machine Learning, Neural Networks, Backpropagation, Gradient Descent.
equation. If we replace equation 1 in equation 2 we obtain this graph, with weights in X-axis and Loss on Y-axis. Initially, the model assigns random weights to the features. So, say it initializes the weight=a. So, we can see it generates a loss which is far from the minimum point L-min. Now, we