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Python for Tensorflow Pocket Primer: Pocket Primer

Autor Oswald Campesato
en Limba Engleză Paperback – 2 iun 2019
Prepares programmers for machine learning and deep learning/TensorFlow topics. The book 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 TensorFlowDataset.
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Specificații

ISBN-13: 9781683923619
ISBN-10: 1683923618
Pagini: 218
Dimensiuni: 152 x 229 x 13 mm
Greutate: 0.34 kg
Editura: Mercury Learning & Information
Colecția Pocket Primer
Seria Pocket Primer


Notă biografică

Campesato Oswald : Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).

Cuprins

1: Introduction to Python
2: NumPy
3: Pandas
4: Matplotlib, Sklearn, and Seaborn
5: Introduction to TensorFlow
6: TensorFlow Datasets
ON THE COMPANION FILES!
(available from the publisher for downloading by writing info@merclearning.com)
  • Source code samples
  • Figures