Book description
This Lesson will answer your key questions about getting started with TensorFlow, a library for machine learning and working with deep neural networks.
What you’ll learn—and how you can apply it
You’ll learn the necessary basics to get starting using TensorFlow and will be able to follow TensorFlow tutorials.
This lesson is for you because
You’ve gained a technical understanding of TensorFlow basics and are ready to move to the next step of training a very large neural network.
You want to learn the basics of TensorFlow, including installation, managing graphs, placeholders, and optimization.
You have some programming experience and you eventually want to take your skills to the next level and train very large neural nets.
You don’t have much experience in deep learning libraries, hands-on with examples of code.
Prerequisites:
- Understanding of gradient descent
- Programming experience (understanding of how to code in Python)
Materials or downloads needed:
- Python
- TensorFlow (recommend latest version, code written and tested on v. 0.11)
Publisher resources
Table of contents
Product information
- Title: Getting started with TensorFlow
- Author(s):
- Release date: April 2017
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781491978740
You might also like
book
Learning TensorFlow
Roughly inspired by the human brain, deep neural networks trained with large amounts of data can …
book
Machine Learning with TensorFlow
Machine Learning with TensorFlow gives readers a solid foundation in machine-learning concepts plus hands-on experience coding …
video
Getting Started with Machine Learning in Python
Machine Learning is a hot topic. And you want to get involved! From developers to analysts, …
book
TensorFlow 2 Pocket Reference
This easy-to-use reference for TensorFlow 2 design patterns in Python will help you make informed decisions …