Neural Network Architecture with External Memory and Domain-aware Weight Switching Mechanism
abstract: Humans have an excellent ability to analyze and process information from multiple domains. They also possess the ability to apply the same decision-making process when the situation is familiar with their previous experience. Inspired by human's ability to remember past experiences...
Other Authors: | Patel, Deep Chittranjan (Author) |
---|---|
Format: | Dissertation |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | http://hdl.handle.net/2286/R.I.57128 |
Similar Items
-
Device and Circuit Architectures for In‐Memory Computing
by: Daniele Ielmini, et al.
Published: (2020-07-01) -
In-Memory Computing with Resistive Memory Circuits: Status and Outlook
by: Giacomo Pedretti, et al.
Published: (2021-04-01) -
Effect of Initial Configuration of Weights on Training and Function of Artificial Neural Networks
by: Ricardo J. Jesus, et al.
Published: (2021-09-01) -
Domain Wall Memory-Based Design of Deep Neural Network Convolutional Layers
by: Jinil Chung, et al.
Published: (2020-01-01) -
APPLICATION OF ARTIFICIAL NEURAL NETWORKS TO PREDICT RAILWAY SWITCH DURABILITY
by: Łukasz GIBAŁA, et al.
Published: (2018-12-01)