Nick McClure's TensorFlow Machine Learning Cookbook PDF

Key Features

• Your speedy consultant to enforcing TensorFlow on your daily desktop studying activities
• Learn complicated suggestions that deliver extra accuracy and pace to laptop learning
• Upgrade your wisdom to the second one iteration of desktop studying with this consultant on TensorFlow

Book Description

TensorFlow is an open resource software program library for computing device Intelligence. The self sustaining recipes during this ebook will educate you ways to exploit TensorFlow for advanced facts computations and should allow you to dig deeper and achieve extra insights into your info than ever prior to. you are going to paintings via recipes on education versions, version assessment, sentiment research, regression research, clustering research, man made neural networks, and deep studying – each one utilizing Google's desktop studying library TensorFlow.

This consultant starts off with the basics of the TensorFlow library along with variables, matrices, and diverse information assets. relocating forward, you'll get hands-on adventure with Linear Regression recommendations with TensorFlow. the following chapters conceal very important high-level options similar to neural networks, CNN, RNN, and NLP.

Once you're known and happy with the TensorFlow environment, the final bankruptcy will aid you take it to production.

What you'll learn

• Become accustomed to the fundamentals of the TensorFlow laptop studying library
• Get to understand Linear Regression strategies with TensorFlow
• Learn SVMs with hands-on recipes
• Implement neural networks and increase predictions
• Apply NLP and sentiment research on your data
• Master CNN and RNN via sensible recipes
• Take TensorFlow into production

About the Author

Nick McClure is presently a senior facts scientist at PayScale, Inc. in Seattle, WA. ahead of this, he has labored at Zillow and Caesar's leisure. He obtained his levels in utilized arithmetic from The college of Montana and the varsity of Saint Benedict and Saint John's University.

He has a fondness for studying and advocating for analytics, desktop studying, and synthetic intelligence. Nick sometimes places his techniques and musings on his web publication, http://fromdata.org/, or via his Twitter account, @nfmcclure.

Table of Contents

1. Getting all started with TensorFlow
2. The TensorFlow Way
3. Linear Regression
4. Support Vector Machines
5. Nearest Neighbor Methods
6. Neural Networks
7. Natural Language Processing
8. Convolutional Neural Networks
9. Recurrent Neural Networks
10. Taking TensorFlow to Production
11. More with TensorFlow