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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| Main Author: | |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Shelter Island, NY :
Manning Publications,
2023.
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| Subjects: | |
| Online Access: | Full text (Wentworth users only) |
MARC
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| 100 | 1 | |a Lanham, Micheal, |e author. |1 https://isni.org/isni/0000000500215498 | |
| 245 | 1 | 0 | |a Evolutionary deep learning : |b genetic algorithms and neural networks / |c Micheal Lanham. |
| 264 | 1 | |a Shelter Island, NY : |b Manning Publications, |c 2023. | |
| 300 | |a 1 online resource (xxii, 336 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
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| 500 | |a Includes index. | ||
| 505 | 0 | |a Part 1. Getting started. Introducing evolutionary deep learning -- Introducing evolutionary computation -- Introducing genetic algorithms with DEAP -- More evolutionary computation with DEAP -- Part 2. Optimizing deep learning. Automating hyperparameter optimization -- Neuroevolution optimization -- Evolutionary convolutional neural networks -- Part 3. Advanced applications. Evolving autoencoders -- Generative deep learning and evolution -- NEAT: neuroEvolution of augmenting topologies -- Evolutionary learning with NEAT -- Evolutionary machine learning and beyond. | |
| 520 | |a 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. | ||
| 588 | |a Description based on print version record. | ||
| 650 | 0 | |a Deep learning (Machine learning) | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Evolutionary computation. | |
| 655 | 0 | |a Electronic books. | |
| 776 | 0 | 8 | |i Print version: |a Lanham, Micheal. |t Evolutionary deep learning. |d Shelter Island, NY : Manning Publications, 2023 |z 9781617299520 |w (OCoLC)1390609254 |
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