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Python for Tensorflow Pocket Primer PDF

235 Pages·2019·18 MB·
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by Oswald Campesato| 2019| 235 pages| 18

About Python for Tensorflow Pocket Primer

As part of the best-selling Pocket Primer series, this book is designed to prepare programmers for machine learning and deep learning TensorFlow topics. It begins with a quick introduction to Python, followed by chapters that discuss NumPy, Pandas, Matplotlib, and scikit-learn. The final two chapters contain an assortment of TensorFlow 1.x code samples, including detailed code samples for TensorFlow Dataset (which is used heavily in TensorFlow 2 as well). A TensorFlow 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

Detailed Information

Author:Oswald Campesato
Publication Year:2019
ISBN:1683923626
Pages:235
File Size:18
Format:PDF
Price:FREE
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