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 backpropagation
• Working with batch and stochastic training
• Combining everything together
• Evaluating models