Deep Learning, Regularisation, Optimization Algorithms, Deep Neural Networks, Gradient Descent.
neural network computes two things. It first computes Z, and then applies the activation function on it to compute A. If we apply batch norm at each layer, the computation will look like: After calculating the Z-value, we apply batch norm and then the activation function on that. Parameters in this