Computational Methods for Deep Learning: Theoretic, Practice and Applications (Hardcover, 2021)

1. Introduction.-  2. Deep Learning Platforms.- 3.  CNN and RNN.- 4. Autoencoder and GAN.- 5. Reinforcement Learning.- 6. CapsNet and Manifold Learning.- 7. Boltzmann Machines.- 8. Transfer Learning and Ensemble Learning.