Evolutionary Deep Learning - Micheal Lanham

Discover One-of-a-kind Ai Strategies Never Before Seen Outside Of Academic Papers Learn How The Principles Of Evolutionary Computation Overcome Deep Learnings Common Pitfalls And Deliver Adaptable Model Upgrades Without Constant Manual Adjustment. In Evolutionary Deep Learning You Will Learn How To: Solve Complex Design And Analysis Problems With Evolutionary Computation Tune Deep Learning Hyperparameters With Evolutionary Computation (ec), Genetic Algorithms, And Particle Swarm Optimization Use Unsupervised Learning With A Deep Learning Autoencoder To Regenerate Sample Data Understand The Basics Of Reinforcement Learning And The Q Learning Equation 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 Openai Gym Game Evolutionary Deep Learning Is A Guide To Improving Your Deep Learning Models With Automl Enhancements Based On The Principles Of Biological Evolution.