GitHub

sghawana/lenet-5-with-depthwise-convolution

This repository contains an implementation of the LeNet-5 neural network, originally proposed in the paper "Gradient-based learning applied to document recognition" by Yann LeCun et al. We have ...
IEEE

Hierarchical Depthwise Graph Convolutional Neural Network for 3D Semantic Segmentation of Point Clouds

Abstract: This paper proposes a hierarchical depthwise graph convolutional neural network (HDGCN) for point cloud semantic segmentation. The main chanllenge for learning on point clouds is to capture ...
GitHub

mahdijaouadi/depthwise-seperable-convolution-project

Applies a single filter to each input channel independently. Let's say you have RGB image,then you have 3 input channels, you apply 3 separate filters, one for each channel. The purpose of this ...
IEEE

Classification of Petrographic Thin Section Images With Depthwise Separable Convolution and Dilated Convolution

Abstract: To enhance the precision and efficiency of petrographic thin section image classification and reduce the subjectivity resulting from manual classification methods, a new classification model ...
GIGAZINE

'Animated AI' provides an animated explanation of convolutional neural network processing

A website called 'Animated AI' has been published that uses animation to explain 'Convolutional Neural Networks (CNN),' a technology widely used in the field of machine learning. The website visually ...