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Evolutionary deep learning genetic algorithms and neural networks

Evolutionary Deep Learning is a guide to improving your deep learning models with AutoML enhancements based on the principles of biological evolution. This exciting new approach utilizes lesser-known AI approaches to boost performance without hours of data annotation or model hyperparameter tuning....

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Bibliographic Details
Main Author: Lanham, Micheal
Format: eBook
Language:English
Published: Shelter Island, NY Manning Publications 2023
Subjects:
Apprentissage Profond
Evolutionary Computation / Http://id.loc.gov/authorities/subjects/sh95003989
Machine Learning / Http://id.loc.gov/authorities/subjects/sh85079324
Evolutionary Computation / Fast / (ocolc)fst00917338
Réseaux Neuronaux à Structure évolutive
Deep Learning (machine Learning) / Http://id.loc.gov/authorities/subjects/sh2021006947
Deep Learning (machine Learning) / Fast / (ocolc)fst02032663
Apprentissage Automatique
Machine Learning / Fast / (ocolc)fst01004795
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary:Evolutionary Deep Learning is a guide to improving your deep learning models with AutoML enhancements based on the principles of biological evolution. This exciting new approach utilizes lesser-known AI approaches to boost performance without hours of data annotation or model hyperparameter tuning. In this one-of-a-kind guide, you'll discover tools for optimizing everything from data collection to your network architecture
Item Description:Includes index
Physical Description:xxii, 336 pages illustrations
ISBN:9781617299520

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