Study of Quantized Hardware Deep Neural Networks Based on Resistive Switching Devices, Conventional versus Convolutional Approaches

Study of Quantized Hardware Deep Neural Networks Based on Resistive Switching Devices, Conventional versus Convolutional Approaches

A comprehensive analysis of two types of artificial neural networks (ANN) is performed to assess the influence of quantization on the synaptic weights. Conventional multilayer-perceptron (MLP) and convolutional neural networks (CNN) have been considered by changing their features in the training and...

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Bibliographic Details
Main Authors: Rocío Romero-Zaliz, Eduardo Pérez, Francisco Jiménez-Molinos, Christian Wenger, Juan B. Roldán
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Electronics
Subjects:
memristor
multilevel operation
hardware neural network
deep neural network
convolutional neural network
image recognition
Online Access:https://www.mdpi.com/2079-9292/10/3/346

Internet

https://www.mdpi.com/2079-9292/10/3/346

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