Chapter 14. Going Deeper – The Mechanics of TensorFlow
In Chapter 13, Parallelizing Neural Network Training with TensorFlow, we trained a multilayer perceptron to classify MNIST digits, using various aspects of the TensorFlow Python API. That was a great way to dive us straight into some hands-on experience with TensorFlow neural network training and machine learning.
In this chapter, we'll now shift our focus squarely on to TensorFlow itself, and explore in detail the impressive mechanics and features that TensorFlow offers:
- Key features and advantages of TensorFlow
- TensorFlow ranks and tensors
- Understanding and working with TensorFlow graphs
- Working with TensorFlow variables
- TensorFlow operations with different scopes
- Common tensor transformations: ...
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