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Hands-On Machine Learning with Azure

You're reading from  Hands-On Machine Learning with Azure

Product type Book
Published in Oct 2018
Publisher Packt
ISBN-13 9781789131956
Pages 340 pages
Edition 1st Edition
Languages
Authors (5):
Thomas K Abraham Thomas K Abraham
Profile icon Thomas K Abraham
Parashar Shah Parashar Shah
Profile icon Parashar Shah
Jen Stirrup Jen Stirrup
Profile icon Jen Stirrup
Lauri Lehman Lauri Lehman
Profile icon Lauri Lehman
Anindita Basak Anindita Basak
Profile icon Anindita Basak
View More author details
Toc

Table of Contents (14) Chapters close

Preface 1. AI Cloud Foundations 2. Data Science Process 3. Cognitive Services 4. Bot Framework 5. Azure Machine Learning Studio 6. Scalable Computing for Data Science 7. Machine Learning Server 8. HDInsight 9. Machine Learning with Spark 10. Building Deep Learning Solutions 11. Integration with Other Azure Services 12. End-to-End Machine Learning 13. Other Books You May Enjoy

Overview of TensorFlow on Azure

TensorFlow is an open source, deep learning library that was introduced by Google and is used for solving a range of tasks. TensorFlow was introduced to fulfill the requirement of building and training complex neural networks in order to detect and decipher patterns, recognitions, and correlations, similar to that of the learning process of the human brain. Google introduced the TPU (Tensor Processing Unit) cloud platform for running the TensorFlow Python API and utilizing TensorFlow graph units.

In order to get started on TensorFlow with Azure, the two easiest options are as follows:

  • Using Deep Learning toolkit for Data Science VM (Deep Learning VM): Provides a Windows GPU version of mxnet, CNTK, TensorFlow, and Keras that's able to run on a GPU-NC, N-series, or FPGA infrastructure.
  • Using Data Science VM for Azure: Support for CNTK, TensorFlow...
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