Saturday, May 30, 2020

Read TensorFlow Machine Learning Cookbook Free

Looking for TensorFlow Machine Learning Cookbook ?


Author : Nick McClure
Publisher : Packt Publishing, Limited
Total Pages : 370

Cook up the machine learning recipe of your choice using the latest numerical computing library-TensorFlow-with the help of this easy-to-follow cookbookAbout This Book* Your quick guide to implementing TensorFlow in your day-to-day machine learning activities* Learn advanced techniques that bring more accuracy and speed to machine learning with the help of this cookbook* Upgrade yourself to the second generation of machine learning with this guide on TensorFlowWho This Book Is ForThis book caters to data scientists who are familiar with C++ or Python and perform machine learning activities on a day-to-day basis. This book is for both intermediate as well as advanced machine learning implementers who need a quick guide they can easily navigate through.What You Will Learn* Become familiar with the basics of the TensorFlow machine learning library* Get to know Linear Regression techniques with TensorFlow* Learn SVMs with practical hands-on recipes* Implement neural networks and improve predictions* Apply NLP and sentiment analysis to your data* Master CNN and RNN through real-world recipes* Take TensorFlow into productionIn DetailTensorFlow 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 help you gain more insights into your data than ever before. Youll work through recipes on training models, model evaluation, sentiment analysis, regression analysis, clustering analysis, artificial neural networks, and deep learning, each using Googles machine learning library TensorFlow.Well start with the fundamentals of the TensorFlow library and you will learn about variables, matrices, and various data sources. Moving ahead, you will get hands-on experience of Linear Regression techniques with TensorFlow. The next chapters cover important high-level concepts such as neural networks, CNN, RNN, and NLP through real-world examples in every recipe.Once you are well versed with the TensorFlow ecosystem, the last chapter will teach you to take it to production.





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