Deep Learning, Regularisation, Optimization Algorithms, Deep Neural Networks, Gradient Descent.
to (notice that the variables have much higher variance in this graph): 2. Next, we normalize the variance: We divide the features with the variance. This will make the input look like: A key point to note is that we use the same mean and variance to normalize the test set as well. We should do