Chapter 2. The TensorFlow Way

In this chapter, we will introduce the key components of how TensorFlow operates. Then we will tie it together to create a simple classifier and evaluate the outcomes. By the end of the chapter you should have learned about the following:

  • Operations in a Computational Graph
  • Layering Nested Operations
  • Working with Multiple Layers
  • Implementing Loss Functions
  • Implementing Back Propagation
  • Working with Batch and Stochastic Training
  • Combining Everything Together
  • Evaluating Models
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