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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