Original PDF Ebook – Machine Learning with TensorFlow 1.x1st Edition – 9781786462961

$19.99

Author (s): Quan Hua, Shams Ul Azeem, Saif Ahmed
Publisher: Packt Publishing Print
ISBN: 9781786462961 1786462966
Edition: 1st
Copyright: 2017

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Original PDF Ebook – Machine Learning with TensorFlow 1.x1st Edition – 9781786462961

Tackle common commercial machine learning problems with Google’s TensorFlow 1.x library and build deployable solutions._x000D_
About This Book_x000D_
Enter the new era of second-generation machine learning with Python with this practical and insightful guide_x000D_
Set up TensorFlow 1.x for actual industrial use, including high-performance setup aspects such as multi-GPU support_x000D_
Create pipelines for training and using applying classifiers using raw real-world data_x000D_
Who This Book Is For_x000D_
This book is for data scientists and researchers who are looking to either migrate from an existing machine learning library or jump into a machine learning platform headfirst. The book is also for software developers who wish to learn deep learning by example. Particular focus is placed on solving commercial deep learning problems from several industries using TensorFlow’s unique features. No commercial domain knowledge is required, but familiarity with Python and matrix math is expected._x000D_
What You Will Learn_x000D_
Explore how to use different machine learning models to ask different questions of your data_x000D_
Learn how to build deep neural networks using TensorFlow 1.x_x000D_
Cover key tasks such as clustering, sentiment analysis, and regression analysis using TensorFlow 1.x_x000D_
Find out how to write clean and elegant Python code that will optimize the strength of your algorithms_x000D_
Discover how to embed your machine learning model in a web application for increased accessibility_x000D_
Learn how to use multiple GPUs for faster training using AWS_x000D_
In Detail

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