Book
Advanced Deep Learning with TensorFlow 2 and Keras
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.
Offered by
Difficulty Level
Intermediate
Completion Time
17h4m
Language
English
About Book
Who Is This Book For?
This is not an introductory book, so fluency with Python is required. The reader should also be familiar with some machine learning approaches, and practical experience with DL will also be helpful. Knowledge of Keras or TensorFlow 2.0 is not required but is recommended.
Advanced Deep Learning with TensorFlow 2 and Keras
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 17h4m total length
Introducing Advanced Deep Learning with Keras
Deep Neural Networks
Autoencoders
Generative Adversarial Networks (GANs)
Improved GANs
Disentangled Representation GANs
Cross-Domain GANs
Variational Autoencoders (VAEs)
Deep Reinforcement Learning
Policy Gradient Methods
Object Detection
Semantic Segmentation
Unsupervised Learning Using Mutual Information
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