Deep Learning, Regularisation, Optimization Algorithms, Deep Neural Networks, Gradient Descent.
case are: Finally, let’s see how we can apply gradient descent using batch norm: For t=1, ….., number of batches: Compute forward propagation on X{t} In each hidden layer, use batch normalization Use backpropagation to compute dW[l], db[l], dβ[l] and dƔ[l] Update the parameters: W[l] = W[l] -