In-Network Neural Networks: Challenges and Opportunities for Innovation
Author:
Affiliation:
1. Federal University of Pampa (UNIPAMPA)
2. Federal University of Rio Grande do Sul (UFRGS)
3. Universidad del Cauca,Popayán
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Link
http://xplorestaging.ieee.org/ielx7/65/9687459/09687464.pdf?arnumber=9687464
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5. Recursive Binary Neural Network Training Model for Efficient Usage of On-Chip Memory
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