Evolutionary Deep Learninggenetic Algorithms And Neural Networks Micheal Lanham by Micheal Lanham instant download after payment.

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.
Evolutionary 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.
What’s Inside● Solve complex design and analysis problems with evolutionary computation
● Tune deep learning hyperparameters
● Apply Q-Learning to deep learning to produce deep reinforcement learning
● Optimize the loss function and network architecture of unsupervised autoencoders
● Make an evolutionary agent that can play an Open AI Gym game
For data scientists who know Python
Micheal Lanham is a proven software and tech innovator with over 20 years of experience.