Name: Introduction to Tensor Computing in Python: From First Principles to Deep Learning
Price: 1408.00 TWD
Availability: InStock
Author: Helal, Manal
ISBN: 9781916626331

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portada Introduction to Tensor Computing in Python: From First Principles to Deep Learning

Introduction to Tensor Computing in Python: From First Principles to Deep Learning

Type

Physical Book

Author

Manal Helal

Publisher

Manal Helal

Language

English

Pages

240

Format

Paperback

Dimensions

27.9 x 21.6 x 1.3 cm

Weight

0.57 kg.

ISBN13

9781916626331

Synopsis "Introduction to Tensor Computing in Python: From First Principles to Deep Learning"

Tensorised deep learning models compress large models using fewer parameters that are easier to express and explain the models' performance. To use and participate in the current state-of-the-art research of multi-way analysis using tensor structures and algebra, a foundation in some mathematical concepts using examples and visualisations is required. This book covers the link from theoretical foundations to example applications in machine learning and deep neural network models. Plenty of Python libraries and application examples are referenced and explained to make it easier for newcomers in the field. All required prerequisites are referenced for a deeper foundation from scratch.

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Introduction to Tensor Computing in Python: From First Principles to Deep Learning - Helal, Manal

Synopsis "Introduction to Tensor Computing in Python: From First Principles to Deep Learning"

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