Optimization and Neural Networks
Hands-on with a single neuron
Feed-Forward Neural Networks
Regularization
Advanced optimizers
Hyper-parameter tuning
Convolutional neural networks
A Brief Introduction to Recurrent Neural Networks
Autoencoders
Metric analysis
Generative Adversarial Networks (GANs)
Appendix A: Introduction to Keras
Appendix B: customizing Keras
Index.