Machine Learning with TensorFlow 1.x
TensorFlow 1.x is an open source software library for numerical computation using data flow graphs. This book approaches common commercial machine learning problems using Google’s TensorFlow 1.x library. It covers unique features of the library such as Data Flow Graphs, training, visualization of performance with TensorBoard—all within a context rich with examples, using problems from multiple industries.
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Difficulty Level
Intermediate
Completion Time
10h8m
Language
English
About Book
Who Is This Book For?
This book is for data scientists and researchers who are looking to either migrate from an existing machine learning library or jump into a machine learning platform headfirst. The book is also for software developers who wish to learn deep learning by example. Particular focus is placed on solving commercial deep learning problems from several industries using TensorFlow’s unique features. No commercial domain knowledge is required, but familiarity with Python and matrix math is expected.
Machine Learning with TensorFlow 1.x
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 10h8m total length
Getting Started with TensorFlow
Your First Classifier
The TensorFlow Toolbox
Cats and Dogs
Sequence to Sequence Models—Parlez-vous Français?
Finding Meaning
Making Money from Machine Learning
The Doctor Will See You Now
Cruise Control: Automation
Go Live and Go Big
Going Further: 21 Problems
Appendix A: Advanced Installation
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