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Machine Learning with TensorFlow

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Summary

Machine Learning with TensorFlow gives readers a solid foundation in machine-learning concepts plus hands-on experience coding TensorFlow with Python.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

TensorFlow, Google's library for large-scale machine learning, simplifies often-complex computations by representing them as graphs and efficiently mapping parts of the graphs to machines in a cluster or to the processors of a single machine.

About the Book

Machine Learning with TensorFlow gives readers a solid foundation in machine-learning concepts plus hands-on experience coding TensorFlow with Python. You'll learn the basics by working with classic prediction, classification, and clustering algorithms. Then, you'll move on to the money exploration of deep-learning concepts like autoencoders, recurrent neural networks, and reinforcement learning. Digest this book and you will be ready to use TensorFlow for machine-learning and deep-learning applications of your own.

Kindle Edition

Published May 9, 2018

2 people want to read

About the author

Nishant Shukla

10 books2 followers

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Profile Image for John Matthews.
17 reviews1 follower
August 12, 2018
Great intro to machine learning with tensorflow, walked away with a good high level view of impact/reasoning for various algorithms and examples when to use them. After reading this I’m in a better position to dive deeper into the field.

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