£118.59

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£119 today · previous high £119 · all-time low £116

Springer Deep Learning: Concepts and Architectures (866)

Amazon

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Description

Explore the fundamentals of deep learning with this specialized volume from Springer. Part of the Studies in Computational Intelligence series, this book provides a deep look into how deep learning supports automatic mechanisms for structural knowledge representation. It examines various multilayer architectures that produce meaningful pieces of knowledge, helping readers understand how these structures lead to effective solutions for real-world problems. This text demonstrates how architectural developments within deep learning support detailed processes. It is a valuable resource for those studying how structural advancements enable the delivery of competitive practical solutions in the field of AI and machine learning.

Key Features

This Springer publication is part of the Studies in Computational Intelligence series, volume 866.

The text introduces fundamental concepts of deep learning and automatic structural knowledge representation.

Readers can examine multilayer architectures that generate functionally meaningful pieces of knowledge.

The book explains how structural developments help deliver competitive practical solutions to real-world problems.

It details how architectural developments within the deep learning setting support detailed processes.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
13 November 2020
Listed Since
17 October 2020

Barcode

No barcode data available

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