Deep Learning, Regularisation, Optimization Algorithms, Deep Neural Networks, Gradient Descent.
question of how to tweak these neural networks in order to extract the maximum accuracy out of them. Course 2, which we will see in this article, spans three modules: In module 1, we will be covering the practical aspects of deep learning. We will see how to split the training, validation and test