Learning In Energyefficient Neuromorphic Computing Algorithm And Architecture Codesign Nan Zheng Pinaki Mazumder by Nan Zheng & Pinaki Mazumder 9781119507406, 1119507405 instant download after payment.

Explains current co-design and co-optimization methodologies for building hardware neural networks and algorithms for machine learning applications 

This book focuses on how to build energy-efficient hardware for neural networks with learning capabilities—and provides co-design and co-optimization methodologies for building hardware neural networks that can learn. Presenting a complete picture from high-level algorithm to low-level implementation details, Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design also covers many fundamentals and essentials in neural networks (e.g., deep learning), as well as hardware implementation of neural networks.

The book begins with an overview of neural networks. It then discusses algorithms for utilizing and training rate-based artificial neural networks. Next comes an introduction to various options for executing neural networks, ranging from general-purpose...