Hands-On Neuroevolution with Python: Build high-performing artificial neural network architectures using neuroevolution-based algorithms

Provides an in-depth guide to neuroevolution, a field focusing on evolving artificial neural networks, primarily using the NEAT algorithm and its advanced derivatives like HyperNEAT and ES-HyperNEAT. It covers practical applications such as solving the XOR problem, pole-balancing, and autonomous maze navigation, highlighting the effectiveness of Novelty Search optimization in deceptive landscapes. The text also explores deep neuroevolution for reinforcement learning in complex environments like Atari games, detailing CNN architectures and unique genome encoding schemes. Additionally, it offers best practices, coding tips, and performance metrics for those implementing neuroevolutionary algorithms.You can listen and download our episodes for free on more than 10 different platforms:https://linktr.ee/cyber_security_summaryGet the Book now from Amazon:https://www.amazon.com/Hands-Neuroevolution-Python-high-performing-neuroevolution-based-ebook/dp/B082J28SZ7?&linkCode=ll1&tag=cvthunderx-20&linkId=253a597add5fafba06c6ae92ac8c9868&language=en_US&ref_=as_li_ss_tl

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CyberSecurity Summary is your go-to podcast for concise and insightful summaries of the latest and most influential books in the field of cybersecurity.Each episode delves into the core concepts, key takeaways, and practical applications of these books, providing you with the knowledge you need to stay ahead in the ever-evolving world of cybersecurity.Whether you’re a seasoned professional or just starting out, CyberSecurity Summary offers valuable insights and discussions to enhance your understanding and keep you informed.You can listen and download our episodes for free on more than 10 different platforms:https://linktr.ee/cyber_security_summary