Python for Tensorflow Pocket Primer, Paperback/Oswald Campesato

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Preț: 162 Lei

Caracteristicile produsului Python for Tensorflow Pocket Primer,

• Brand: Mercury Learning & Information
• Categoria: Carte straina
• Magazin: elefant.ro
• Ultima actualizare: 14-03-2020 23:01:09

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Descriere magazin:
Description As part of the best-selling Pocket Primer series, this book is designed to prepare programmers for machine learning and deep learning/Tensor Flow topics. It begins with a quick introduction to Python, followed by chapters that discuss Num Py, Pandas, Matplotlib, and scikit-learn. The final two chapters contain an assortment of Tensor Flow 1. x code samples, including detailed code samples for Tensor Flow Dataset (which is used heavily in Tensor Flow 2 as well). A Tensor Flow Dataset refers to the classes in the tf. data. Dataset namespace that enables programmers to construct a pipeline of data by means of method chaining so-called lazy operators, e. g., map(), filter(), batch(), and so forth, based on data from one or more data sources. Companion files with source code are available for downloading from the publisher by writing info@merclearning. com. Features: A practical introduction to Python, Num Py, Pandas, Matplotlib, and introductory aspects of Tensor Flow 1. xContains relevant Num Py/Pandas code samples that are typical in machine learning topics, and also useful Tensor Flow 1. x code samples for deep learning/Tensor Flow topics Includes many examples of Tensor Flow Dataset APIs with lazy operators, e. g., map(), filter(), batch(), take() and also method chaining such operators Assumes the reader has very limited experience Companion files with all of the source code examples (download from the publisher)