Deep Learning, Regularisation, Optimization Algorithms, Deep Neural Networks, Gradient Descent.
this because we want the same transformation to happen on both the train and test data. But why does normalizing the data make the algorithm faster? In the case of unnormalized data, the scale of features will vary, and hence there will be a variation in the parameters learnt for each feature. This