Python for TensorFlow Pocket Primer - Tapa blanda

Campesato, Oswald

 
9781683923619: Python for TensorFlow Pocket Primer
Tapa blanda
ISBN 10: 1683923618 ISBN 13: 9781683923619
Editorial: Mercury Learning and Information, 2019

Sinopsis

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 info@merclearning.com. Features: A practical introduction to Python, NumPy, Pandas, Matplotlib, and introductory aspects of TensorFlow 1.x Contains relevant NumPy/Pandas code samples that are typical in machine learning topics, and also useful TensorFlow 1.x code samples for deep learning/TensorFlow topics Includes many examples of TensorFlow 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)

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Acerca del autor

Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty books including Google Gemini for Python, Data Cleaning, and GPT-4 for Developers (all Mercury Learning).

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Mercury Learning and Information
Año de publicación
2019
Idioma
Inglés
ISBN 10 
1683923618
ISBN 13 
9781683923619
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
236
Contacto del fabricante
no disponible
Persona responsable
no disponible