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Add Deep Learning with Swift for TensorFlow book. #181

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Add Deep Learning with Swift for TensorFlow book. #181

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3 changes: 2 additions & 1 deletion README.md
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Expand Up @@ -234,6 +234,8 @@ More info [here](http://tensorflow.org).

## Books


* [Deep Learning with Swift for TensorFlow](https://link.springer.com/book/10.1007/978-1-4842-6330-3) - Differentiable Programming with Swift by Rahul Bhalley. This book strongly focuses on introducing the basics of machine & deep learning, mathematics behind it in simple language, and readers also learn to implement state-of-the-art deep learning models using Swift for TensorFlow.
* [Machine Learning with TensorFlow](http://tensorflowbook.com) by Nishant Shukla, computer vision researcher at UCLA and author of Haskell Data Analysis Cookbook. This book makes the math-heavy topic of ML approachable and practicle to a newcomer.
* [First Contact with TensorFlow](http://www.jorditorres.org/first-contact-with-tensorflow/) by Jordi Torres, professor at UPC Barcelona Tech and a research manager and senior advisor at Barcelona Supercomputing Center
* [Deep Learning with Python](https://machinelearningmastery.com/deep-learning-with-python/) - Develop Deep Learning Models on Theano and TensorFlow Using Keras by Jason Brownlee
Expand All @@ -245,7 +247,6 @@ More info [here](http://tensorflow.org).
* [TensorFlow 2.0 in Action](https://www.manning.com/books/tensorflow-in-action) - by Thushan Ganegedara. This practical guide to building deep learning models with the new features of TensorFlow 2.0 is filled with engaging projects, simple language, and coverage of the latest algorithms.



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## Contributions
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