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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....
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Shelter Island, NY :
Manning Publications,
2023.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- 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.