Evolutionary deep training. Genetic algorithms Neural networks. Lanham M.
The book analyzes the methods of enhancing the power of neural networks due to biological algorithms in solving the problems of search, optimization and management. Actual and extremely interesting examples demonstrate ways of forming the advanced directions of the science of data on the basis of the lessons from the world of nature that are leaving to the deep antiquity.
The publication introduces evolutionary calculations and provides a number of methods that you can apply throughout the entire process of deep training. You will discover genetic algorithms and evolutionary-computing approaches to the removal of neural network topologies, generative modeling, training with reinforcement and much more. Colab’s interactive notebooks will give you the opportunity to conduct experiments as the book is assimilated.
is intended for data researchers who are familiar with Python.
| Characteristics | |
| A country | Russia |
| Author | Lanham Michael |
| Number of pages | 440 |
| The year of publishing | 2023 |
| Type of cover | Hard cover |
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