• Neural network learning: Back-Propagation
  • CNN architectures
  • Generative Adversarial Networks (GANs)
  • Recurrent Neural networks (RNNs)
  • Advanced RNN: LSTM, GRU, nLSTM
  • Deep reinforcement learning