Advanced Deep Learning with TensorFlow 2 and Keras : Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more
- 2nd Ed.
- Mumbai Packet 2020
- xi, 491p.
1 Introducing Advanced Deep Learning with Keras 2 Deep Neural Networks 3 Autoencoders 4 Generative Adversarial Networks (GANs) 5 Improved GANs 6 Disentangled Representation GANs 7 Cross-Domain GANs 8 Variational Autoencoders (VAEs) 9 Deep Reinforcement Learning 10 Policy Gradient Methods 11 Object Detection 12 Semantic Segmentation 13 Unsupervised Learning Using Mutual Information
A second edition of the bestselling guide to exploring and mastering deep learning with Keras, updated to include TensorFlow 2.x with new chapters on object detection, semantic segmentation, and unsupervised learning using mutual information
9781838821654
Advanced Deep Learning with Keras Deep Neural Networks Autoencoders Generative Adversarial Networks (GANs) Variational Autoencoders (VAEs) Deep Reinforcement Learning Policy Gradient Methods Object Detection Semantic Segmentation Unsupervised Learning Using Mutual Information