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Can I read TensorFlow Machine Learning Cookbook : Over 60 Recipes to Build Intelligent Machine Learning Systems with the Power of Python, 2nd Edition on EtoBox?

TensorFlow Machine Learning Cookbook : Over 60 Recipes to Build Intelligent Machine Learning Systems with the Power of Python, 2nd Edition by Nick McClure is a nonfiction available to read on EtoBox.

What is TensorFlow Machine Learning Cookbook : Over 60 Recipes to Build Intelligent Machine Learning Systems with the Power of Python, 2nd Edition about?

Skip the theory and get the most out of Tensorflow to build production-ready machine learning models Key Features Exploit the features of Tensorflow to build and deploy machine learning models Train neural networks to tackle real-world problems in Computer Vision and NLP Handy techniques to write production-ready code for your Tensorflow models Book Description TensorFlow 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 allow you to dig deeper and gain more insights into your data than ever before. With the help of this book, you will work with recipes for training models, model evaluation, sentiment analysis, regression analysis, clustering analysis, artificial neural networks, and more. You will explore RNNs, CNNs, GANs, reinforcement learning, and capsule networks, each using Google's machine learning library, TensorFlow. Through real-world examples, you will get hands-on experience with linear regression techniques with TensorFlow. Once you are familiar and comfortable with the TensorFlow ecosystem, you will be shown how to take it to production. By the end of

Who reads TensorFlow Machine Learning Cookbook : Over 60 Recipes to Build Intelligent Machine Learning Systems with the Power of Python, 2nd Edition?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Nick McClure
Publisher
Packt Publishing - ebooks Account
Published
2018
Language
EN
ISBN
9781789130768
Category
nonfiction
Subjects
Science, Computer Science, Fiction

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