February 2018
Intermediate to advanced
272 pages
8h 42m
English
Content preview from Machine Learning with TensorFlowBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 2. TensorFlow essentials
This chapter covers
- Understanding the TensorFlow workflow
- Creating interactive notebooks with Jupyter
- Visualizing algorithms by using TensorBoard
Before implementing machine-learning algorithms, let’s first get familiarized with how to use TensorFlow. You’re going to get your hands dirty writing simple code right away! This chapter covers some essential advantages of TensorFlow to convince you it’s the machine-learning library of choice.
As a thought experiment, let’s see what happens when we use Python code without a handy computing library. It’ll be like using a new smartphone without installing any additional ...
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