Convolutional Neural Network-Based Natural Image and MRI Classification Using Gaussian Activated Parametric (GAP) Layer

Convolutional Neural Network-Based Natural Image and MRI Classification Using Gaussian Activated Parametric (GAP) Layer

We propose a novel gaussian activated parametric (GAP) layer for deep neural networks specifically for CNN. This layer normalizes the feature vector using the Gaussian filter-based un-sharpening technique. The goal of the proposed method is to normalize and activate the initial and intermediate feat...

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Bibliographic Details
Main Authors: Bijen Khagi, Goo Rak Kwon
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Activation
convolutional neural network (CNN)
normalization layer
correlation
classification
deep neural network (DNN)
Online Access:https://ieeexplore.ieee.org/document/9467344/

Internet

https://ieeexplore.ieee.org/document/9467344/

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