Evolutionary deep learning : genetic algorithm and neural networks /
Micheal Lanham.
Bok Engelsk
| Utgitt | Manning Publications
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|---|---|
| Opplysninger | 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.. - 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 lessons from the natural world are shaping the cutting edge of data science. Evoltionary deep learning introduces evolutionary computation (EC) and gives you a toolbox of techniques you can apply throughout the deep learning pipeline. Discover genetic algorithms and EC approaches to network topology, generative modeling, reinforcement learning, and more! Interactive Colab notebooks give you an opportunity to experiment as you explore.
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| Emner | |
| Dewey | |
| ISBN | 1-61729-952-9
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