Deep Learning, Regularisation, Optimization Algorithms, Deep Neural Networks, Gradient Descent.
lot of decisions regarding the following hyperparameters: Number of hidden layers in the network Number of hidden units for each hidden layer Learning rate Activation function for different layers, etc. There is no specified or pre-defined way of choosing these hyperparameters. The below is what we