Deep Learning, Regularisation, Optimization Algorithms, Deep Neural Networks, Gradient Descent.
the activations for the selected units: a3= np.multiply(a3,d3) This a3value will be reduced by a factor of (1-keep_probs). So to get the expected value of a3, we divide the value: a3/= keep_dims Let’s understand the concept of dropout using an example: Number of units in the layer = 50 keep_prob =