Space-Time Computing with Temporal Neural Networks
β Scribed by James E. Smith
- Publisher
- Morgan & Claypool
- Year
- 2017
- Tongue
- English
- Leaves
- 217
- Series
- Synthesis Lectures on Computer Architecture
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
<p><p>Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original authorβs contribution to the area. The book introduc
<p><em>Neural Network Parallel Computing</em> is the first book available to the professional market on neural network computing for optimization problems. This introductory book is not only for the novice reader, but for experts in a variety of areas including parallel computing, neural network com
Neural networks are one of the most fascinating machine learning models for solving complex computational problems efficiently. Neural networks are used to solve wide range of problems in different areas of AI and machine learning. This book explains the niche aspects of neural networking and provi