Deep Learning, Regularisation, Optimization Algorithms, Deep Neural Networks, Gradient Descent.
guidelines: Divide the training, dev and test sets in such a way that their distribution is similar Skip the test set and validate the model using the dev set only We can also use these sets to look at the bias and variance of the model, These help us decide how well the model is fitting and