Deep Learning, Regularisation, Optimization Algorithms, Deep Neural Networks, Gradient Descent.
very example where we have three hidden layers. For now, we will consider the third layer, l=3. The dropout vector d for the third hidden layer can be written as: d3= np.random.rand(a3.shape[0], a3.shape[1]) < keep_prob Here, keep_prob is the probability of keeping a unit. Now, we will calculate