Deep Learning, Neural Networks, Adversarial Network, Tinder, Social Media.
layer at each timestep. Dropout layers help prevent overfitting by removing a proportion of active nodes from each layer during training (but not during prediction). ###From trump char builder def build_model(gpu_count=1): “””Build a Keras sequential model for training the char-rnn””” model =