Deep Learning, Neural Networks, Machine Learning, Artificial Intelligence, Keras.
encourages the network to learn redundant representations. keras.layers.Dropout(rate, noise_shape=None, seed=None, **kwargs) rate: A float between 0 and 1. It represents the fraction of the input units to drop. For example, rate=0.2 means that 20% of the input units will be randomly set to zero