Artificial Intelligence, Artificial Neural Network, Computer Science, Linear Regression, Python.
implementation: def softmax(activations): # Calculate the exp for every items in the vector of activations max_act= tf.reduce_max(activations, axis=1) max_act = tf.reshape(max_act, (max_act.shape[0], 1)) # Calculate the exp for every items in the vector of activations e = tf.math.exp(activations -