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