Deep Learning with TensorFlow 2 and Keras
Deep Learning with TensorFlow 2 and Keras, Second Edition teaches deep learning techniques alongside TensorFlow (TF) and Keras. The book introduces neural networks with TensorFlow, runs through the main applications, covers two working example apps, and then dives into TF and cloudin production, TF mobile, and using TensorFlow with AutoML.
Offered by
Difficulty Level
Intermediate
Completion Time
21h32m
Language
English
About Book
Who Is This Book For?
This book is for Python developers and data scientists who want to build machine learning and deep learning systems with TensorFlow. This book gives you the theory and practice required to use Keras, TensorFlow 2, and AutoML to build machine learning systems. Some knowledge of machine learning is expected.
Deep Learning with TensorFlow 2 and Keras
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 21h32m total length
Neural Network Foundations with TensorFlow 2.0
TensorFlow 1.x and 2.x
Regression
Convolutional Neural Networks
Advanced Convolutional Neural Networks
Generative Adversarial Networks
Word Embeddings
Recurrent Neural Networks
Autoencoders
Unsupervised Learning
Reinforcement Learning
TensorFlow and Cloud
TensorFlow for Mobile and IoT and TensorFlow.js
An introduction to AutoML
The Math Behind Deep Learning
Tensor Processing Unit
Related Resources
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