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 get familiar 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 that it’s the machine-learning library of choice. Before you continue, follow the procedures in the appendix for step-by-step installation instructions, then return here.
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 ...
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