Description: Python for Tensorflow Pocket Primer, Paperback by Campesato, Oswald, ISBN 1683923618, ISBN-13 9781683923619, Brand New, Free shipping in the US As part of the best-selling PocketPrimer series, this book is designed to prepare programmersfor machine learning and deep learning/TensorFlow topics. It begins with aquick introduction to Python, followed by chapters that discuss NumPy, Pandas,Matplotlib, and scikit-learn. The final two chapters contain an assortment ofTensorFlow code samples, including detailed code samples for TensorFlowDataset (which is used heavily in TensorFlow 2 as well). A TensorFlow Datasetrefers to the classes in the namespace that enables programmersto construct a pipeline of data by means of method chaining so-called lazyoperators, ., map(), filter(), batch(), and so forth, based on data from oneor more data sources. Companion files with source code areavailable for ing from the publisher by writing . Features: A practical introductionto Python, NumPy, Pandas, Matplotlib, and introductory aspects of Contains relevant NumPy/Pandascode samples that are typical in machine learning topics, and also usefulTensorFlow code samples for deep learning/TensorFlow topicsIncludes many examples of TensorFlow Dataset APIswith lazy operators, ., map(), filter(), batch(), take() and also methodchaining such operatorsAssumes the reader hasvery limited experienceCompanion files with all of thesource code examples ( from the publisher)
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Book Title: Python for Tensorflow Pocket Primer
Number of Pages: 218 Pages
Language: English
Publication Name: Python for Tensorflow Pocket Primer
Publisher: Mercury Learning & Information
Publication Year: 2019
Subject: Programming / General, Programming Languages / Python
Type: Textbook
Item Weight: 11.9 Oz
Item Length: 9 in
Author: Oswald Campesato
Subject Area: Computers
Item Width: 6 in
Series: Computing and Information Technology Ser.
Format: Trade Paperback
