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Springer - Foundations of Deep Learning Textbook

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Description

Deep learning has transformed technologies like natural language processing, audio processing, and image processing. This Springer publication, Foundations of Deep Learning (Machine Learning: Foundations, Methodologies, and Applications), addresses the gap between deep learning and conventional complexity-based learning theory. As over-parameterization makes existing tools difficult to apply, this book explores the challenges of deploying deep learning in security-critical areas. It provides essential context for high-stakes fields such as medical diagnosis and autonomous vehicles, where algorithmic precision is necessary to prevent errors in critical systems.

Key Features

This Springer textbook covers the foundations of deep learning within the Machine Learning: Foundations, Methodologies, and Applications series.

The content examines how deep learning reshapes image, audio, and natural language processing technologies.

The text addresses the relationship between deep learning and conventional complexity-based learning theory.

Readers can explore the implications of over-parameterization in modern deep learning models.

The book provides insight into deploying deep learning in security-critical areas like autonomous vehicles and medical diagnosis.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
02 February 2025
Listed Since
22 October 2021

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No barcode data available

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