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Python Machine Learning: Perform Python Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow by Vahid Mirjalili, Sebastian Raschka

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Chapter 13. Parallelizing Neural Network Training with TensorFlow

In this chapter, we'll move on from the mathematical foundations of machine learning and deep learning to introducing TensorFlow. TensorFlow is one of the most popular deep learning libraries currently available, and it can let us implement neural networks much more efficiently than any of our previous NumPy implementations. In this chapter, we'll start using TensorFlow and see how it brings significant benefits to training performance.

This chapter begins the next stage of our journey into training machine learning and deep learning, and we'll explore the following topics:

  • How TensorFlow improves training performance
  • Working with TensorFlow to write optimized machine learning code ...

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