Read TensorFlow Machine Learning Cookbook

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Key FeaturesYour quick guide to implementing TensorFlow in your day-to-day machine learning activitiesLearn advanced techniques that bring more accuracy and speed to machine learningUpgrade your knowledge to the second generation of machine learning with this guide on TensorFlowBook DescriptionTensorFlow is an open source software library for Machine Intelligence. The independent recipes in this book will teach you how to use TensorFlow for complex data computations and will let you dig deeper and gain more insights into your data than ever before. You'll work through recipes on training models, model evaluation, sentiment analysis, regression analysis, clustering analysis, artificial neural networks, and deep learning each using Google's machine learning library TensorFlow.This guide starts with the fundamentals of the TensorFlow library which includes variables, matrices, and various data sources. Moving ahead, you will get hands-on experience with Linear Regression techniques with TensorFlow. The next chapters cover important high-level concepts such as neural networks, CNN, RNN, and NLP.Once you are familiar and comfortable with the TensorFlow ecosystem, the last chapter will show you how to take it to production.What you will learnBecome familiar with the basics of the TensorFlow machine learning libraryGet to know Linear Regression techniques with TensorFlowLearn SVMs with hands-on recipesImplement neural networks and improve predictionsApply NLP and sentiment analysis to your dataMaster CNN and RNN through practical recipesTake TensorFlow into productionAbout the AuthorNick McClure is currently a senior data scientist at PayScale, Inc. in Seattle, WA. Prior to this, he has worked at Zillow and Caesar's Entertainment. He got his degrees in Applied Mathematics from The University of Montana and the College of Saint Benedict and Saint John's University.He has a passion for learning and advocating for analytics, machine learning, and artificial intelligence. Nick occasionally puts his thoughts and musings on his Twitter account, @nfmcclure.Table of ContentsGetting Started with TensorFlowThe TensorFlow WayLinear RegressionSupport Vector MachinesNearest Neighbor MethodsNeural NetworksNatural Language ProcessingConvolutional Neural NetworksRecurrent Neural NetworksTaking TensorFlow to ProductionMore with TensorFlow O'Reilly Media - Tech Books DRM-Free Ebooks Videos Your tech ebook super store - shop DRM-free ebooks and videos from O'Reilly Media Wiley No Starch Press SitePoint Wrox and many more tensorflowbookcom This chapter has no code whatsoever It's a beach read really Let the fundamental concepts of machine learning sink in before you begin hacking Video Training - O'Reilly Media O'Reilly Media Video Training: Lifetime access Free updates DRM-free Master Classes O'Reilly Conference Tutorials Session Great Videos Index of Packages Matching 'numpy' : Python Package Index numpy 1130rc1 12 NumPy: array processing for numbers strings records and objects dicom-numpy 011 9 Extract image data into a 3D numpy array from a set of Python Machine Learning PACKT Books Learn how to build powerful Python machine learning algorithms to generate useful data insights with this data analysis tutorial Resources / Machine Intelligence / Platforms & Tools Platforms and Tools Figure 1 illustrates some example platforms and tech user tools that can be utilised in research and application related projects via Databases and SQL - Free eBooks Download ebook3000com is the best free ebooks download library It's the open directory for free ebooks and download links and the best place to read ebooks and search free Linux Tech Page PACKT Books Learn Linux with Packt - discover books that will help you explore the world's leading open source operating system Python Tutorial: Network Programming - Server & Client A In the following code the server sends the current time string to the client: serverpy import socket import time create a Introduction to Python Deep Learning with Keras - Machine What is Keras? Keras is a minimalist Python library for deep learning that can run on top of Theano or TensorFlow It was developed to make implementing deep learning
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