𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Space-Time Computing with Temporal Neural Networks

✍ Scribed by James E. Smith


Publisher
Morgan & Claypool
Year
2017
Tongue
English
Leaves
217
Series
Synthesis Lectures on Computer Architecture
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Time-Space, Spiking Neural Networks and
✍ Nikola K. Kasabov πŸ“‚ Library πŸ“… 2019 πŸ› Springer Berlin Heidelberg 🌐 English

<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 author’s contribution to the area. The book introduc

Neural Network Parallel Computing
✍ Yoshiyasu Takefuji (auth.) πŸ“‚ Library πŸ“… 1992 πŸ› Springer US 🌐 English

<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 with R
✍ Giuseppe Ciaburro, Balaji Venkateswaran πŸ“‚ Library πŸ“… 2017 πŸ› Packt Publishing 🌐 English

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