GitHub

ResNet Implementation from Scratch using PyTorch

This repository contains an implementation of the Residual Network (ResNet) architecture from scratch using PyTorch. ResNet is a deep convolutional neural network that won the ImageNet competition in ...
IEEE

Parameter Training Methods for Convolutional Neural Networks With Adaptive Adjustment Method Based on Borges Difference

Abstract: This paper proposes a momentum algorithm based on Borges difference and an adaptive momentum (Adam) algorithm based on Borges difference to update parameters, which can adjust the momentum ...
IEEE

Fuhong Lin

Internet Of Things,Computation Time,Resource Allocation,6G Networks,Activity Quality,Affective Computing,Affective States,Aggregate Data,Allocation Model,Allocation Scheme,Alternating Direction Method ...
GitHub

unet_2d_blocks.py

# you may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 ...
Frontiers

ZDAM: a new deep learning model for bean leaf disease diagnosis

ResNet transfers deep semantic features through skip connections, fully leveraging its feature extraction advantage for the complex disease morphology in this dataset. Although the CBAM can focus on ...
Frontiers

When uncertainty guides learning: a highly effective approach to kidney disease classification in CT imaging

As shown in Table 6, ResNet-50 provides the optimal balance between model capacity and computational efficiency. The 4.1 GFLOPs computational requirement is compatible with standard research hardware; ...