Implementation of basic deep learning models using tensorflow and keras
-Convolutional Neural Network
-Recurrent(LSTM, GRU,Bidirectional LSTM)
-Convolutional LSTM
-Residual Network
-Autoencoder
-Variational AutoEncoder
-Generative adversarial network
-Differentiable Neural Computer
-Q table
-Policy Based Algorithm
-Q Network
-Deep Q Network
-Double DQN
-Neural Arithmetic Logic Unit