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
