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9781617299520 - Evolutionary Deep Learning: Genetic Algorithms and Neural Networks di Lanham, Micheal (31 risultati)
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Evolutionary Deep Learning : Genetic Algorithms and Neural Networks
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Paperback. Condizione: New. Discover one-of-a-kind AI strategies never before seen outside of academic papers! Learn how the principles of evolutionary computation overcome deep learning's common pitfalls and deliver adaptable model upgrades without constant manual adjustment. In Evolutionary Deep Learning you will learn how to: Solve complex design and analysis problems with evolutionary computationTune deep learning hyperparameters with evolutionary computation (EC), genetic algorithms, and particle swarm optimizationUse unsupervised learning with a deep learning autoencoder to regenerate sample dataUnderstand the basics of reinforcement learning and the Q Learning equationApply Q Learning to deep learning to produce deep reinforcement learningOptimize the loss function and network architecture of unsupervised autoencodersMake an evolutionary agent that can play an OpenAI Gym game 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. about the technology Evolutionary deep learning merges the biology-simulating practices of evolutionary computation (EC) with the neural networks of deep learning. This unique approach can automate entire DL systems and help uncover new strategies and architectures. It gives new and aspiring AI engineers a set of optimization tools that can reliably improve output without demanding an endless churn of new data. about the reader For data scientists who know Python.
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Evolutionary Deep Learning : Genetic Algorithms and Neural Networks
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Evolutionary Deep Learning
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Evolutionary Deep Learning
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Evolutionary Deep Learning
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Evolutionary Deep Learning
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Evolutionary Deep Learning (Paperback)
Lingua: Inglese
Editore: Manning Publications, New York, 2023
ISBN 10: 1617299529 ISBN 13: 9781617299520
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Paperback. Condizione: new. Paperback. Discover one-of-a-kind AI strategies never before seen outside of academic papers! Learn how the principles of evolutionary computation overcome deep learning's common pitfalls and deliver adaptable model upgrades without constant manual adjustment. In Evolutionary Deep Learning you will learn how to: Solve complex design and analysis problems with evolutionary computationTune deep learning hyperparameters with evolutionary computation (EC), genetic algorithms, and particle swarm optimizationUse unsupervised learning with a deep learning autoencoder to regenerate sample dataUnderstand the basics of reinforcement learning and the Q Learning equationApply Q Learning to deep learning to produce deep reinforcement learningOptimize the loss function and network architecture of unsupervised autoencodersMake an evolutionary agent that can play an OpenAI Gym game 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. about the technology Evolutionary deep learning merges the biology-simulating practices of evolutionary computation (EC) with the neural networks of deep learning. This unique approach can automate entire DL systems and help uncover new strategies and architectures. It gives new and aspiring AI engineers a set of optimization tools that can reliably improve output without demanding an endless churn of new data. about the reader For data scientists who know Python. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Evolutionary Deep Learning: Genetic algorithms and neural networks
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ISBN 10: 1617299529 ISBN 13: 9781617299520
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Evolutionary Deep Learning : Genetic Algorithms and Neural Networks
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Evolutionary Deep Learning : Genetic Algorithms and Neural Networks
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Evolutionary Deep Learning: Genetic algorithms and neural networks
Lingua: Inglese
Editore: Manning Publications Company, 2023
ISBN 10: 1617299529 ISBN 13: 9781617299520
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Evolutionary Deep Learning
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Evolutionary Deep Learning: Genetic Algorithms and Neural Networks
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Evolutionary Deep Learning: Genetic Algorithms and Neural Networks
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Evolutionary Deep Learning: Genetic algorithms and neural networks
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Evolutionary Deep Learning: Genetic Algorithms and Neural Networks
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Evolutionary Deep Learning: Genetic Algorithms and Neural Networks
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Evolutionary Deep Learning
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Paperback. Condizione: New. Discover one-of-a-kind AI strategies never before seen outside of academic papers! Learn how the principles of evolutionary computation overcome deep learning's common pitfalls and deliver adaptable model upgrades without constant manual adjustment. In Evolutionary Deep Learning you will learn how to: Solve complex design and analysis problems with evolutionary computationTune deep learning hyperparameters with evolutionary computation (EC), genetic algorithms, and particle swarm optimizationUse unsupervised learning with a deep learning autoencoder to regenerate sample dataUnderstand the basics of reinforcement learning and the Q Learning equationApply Q Learning to deep learning to produce deep reinforcement learningOptimize the loss function and network architecture of unsupervised autoencodersMake an evolutionary agent that can play an OpenAI Gym game 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. about the technology Evolutionary deep learning merges the biology-simulating practices of evolutionary computation (EC) with the neural networks of deep learning. This unique approach can automate entire DL systems and help uncover new strategies and architectures. It gives new and aspiring AI engineers a set of optimization tools that can reliably improve output without demanding an endless churn of new data. about the reader For data scientists who know Python.
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EVOLUTIONARY DEEP LEARNING
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Evolutionary Deep Learning: Genetic Algorithms and Neural Networks
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Aggiungi al carrelloCondizione: New. Über den AutorMicheal Lanham is a proven software and tech innovator with over 20 years of experience. He has developed a broad range of software applications in areas such as games, graphics, web, desktop, engineering, artificial i.
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Evolutionary Deep Learning (Paperback)
Lingua: Inglese
Editore: Manning Publications, New York, 2023
ISBN 10: 1617299529 ISBN 13: 9781617299520
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Discover one-of-a-kind AI strategies never before seen outside of academic papers! Learn how the principles of evolutionary computation overcome deep learning's common pitfalls and deliver adaptable model upgrades without constant manual adjustment. In Evolutionary Deep Learning you will learn how to: Solve complex design and analysis problems with evolutionary computationTune deep learning hyperparameters with evolutionary computation (EC), genetic algorithms, and particle swarm optimizationUse unsupervised learning with a deep learning autoencoder to regenerate sample dataUnderstand the basics of reinforcement learning and the Q Learning equationApply Q Learning to deep learning to produce deep reinforcement learningOptimize the loss function and network architecture of unsupervised autoencodersMake an evolutionary agent that can play an OpenAI Gym game 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. about the technology Evolutionary deep learning merges the biology-simulating practices of evolutionary computation (EC) with the neural networks of deep learning. This unique approach can automate entire DL systems and help uncover new strategies and architectures. It gives new and aspiring AI engineers a set of optimization tools that can reliably improve output without demanding an endless churn of new data. about the reader For data scientists who know Python. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Evolutionary Deep Learning : Genetic Algorithms and Neural Networks
Lingua: Inglese
Editore: Manning Publications Jul 2023, 2023
ISBN 10: 1617299529 ISBN 13: 9781617299520
EUR 71,19
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - Discover one-of-a-kind AI strategies never before seen outside of academic papers! Learn how the principles of evolutionary computation overcome deep learning's common pitfalls and deliver adaptable model upgrades without constant manual adjustment.In Evolutionary Deep Learning you will learn how to:
