nach der Bestellung gedruckt Neuware - Printed after ordering - 'Deep Dive into Deep Learning Frameworks: A Mathematical Exploration' offers an in-depth exploration of the fundamental mathematical concepts that power contemporary deep learning methodologies. This book serves as a comprehensive guide for researchers, practitioners, and enthusiasts seeking to understand the intricate mathematical underpinnings of neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and other advanced models like generative adversarial networks (GANs) and autoencoders.

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Bibliographic Details

Title: Deep Dive into Deep Learning Frameworks: A Mathematical Exploration
Publisher: LAP LAMBERT Academic Publishing
Publication Date: 2024
Language: English
ISBN 10: 6207808452
ISBN 13: 9786207808458
Binding: Taschenbuch
Condition: Neu
Dimensions: 220 millimeters width by 150 millimeters height by 5 millimeters depth
Weight: 119 grams

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"Deep Dive into Deep Learning Frameworks: A Mathematical Exploration" offers an in-depth exploration of the fundamental mathematical concepts that power contemporary deep learning methodologies. This book serves as a comprehensive guide for researchers, practitioners, and enthusiasts seeking to understand the intricate mathematical underpinnings of neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and other advanced models like generative adversarial networks (GANs) and autoencoders.

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