Evolutionary deep learning genetic algorithms and neural networks
Deep learning meets evolutionary biology in this incredible book. Explore how biology-inspired algorithms and intuitions amplify the power of neural networks to solve tricky search, optimization, and control problems. Relevant, practical, and extremely interesting examples demonstrate how ancient...
| Otros Autores: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Shelter Island, NY :
Manning Publications
2023.
|
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009764830306719 |
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.
