Hands-On Machine Learning for Algorithmic Trading

Part 4 – deep and reinforcement learning

Part 4 introduces deep learning and reinforcement learning.

• Chapter 16, Deep Learning, introduces Keras, TensorFlow and PyTorch, the most popular deep learning frameworks and illustrates how to train and tune various architectures.
• Chapter 17, Convolutional Neural Networks, illustrates how to use CNNs with image and text data
• Chapter 18, Recurrent Neural Networks, presents RNNs for time series data
• Chapter 19, Autoencoders and Generative Adversarial Nets, shows how to use deep neural networks for unsupervised learning with autoencoders and presents GANs that produce synthetic data
• Chapter 20, Reinforcement Learning, demonstrates the use of reinforcement learning to build dynamic agents that learn ...