Artificial Intelligence, Artificial Neural Network, Computer Science, Linear Regression, Python.
max_act) # Get the sum of exp of activations for the entire layer esum = tf.reduce_sum(e, axis=1) # Reshape it to have the chape (m, 1 instead of (m,)) esum = tf.reshape(esum,(e.shape[0], 1)) #Divide every value of e by the total sum of esum to get the probability for each class per instance return