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Explore machine learning concepts using the latest numerical computing library TensorFlow with the help of this comprehensive cookbookKey FeaturesBook 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 handson experience with Linear Regression techniques with TensorFlow. The next chapters cover important highlevel 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 learnWho this book is forThis book is ideal for data scientists who are familiar with C++ or Python and perform machine learning activities on a daytoday basis. Intermediate and advanced machine learning implementers who need a quick guide they can easily navigate will find it useful.
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