Welcome to the Convolutional Neural Networks: Step by Step repository! 🚀 This project provides an in-depth implementation of foundational concepts in Convolutional Neural Networks (CNNs), including ...

# - Superscript $[l]$ denotes an object of the $l^{th}$ layer. # - Example: $a^{[4]}$ is the $4^{th}$ layer activation. $W^{[5]}$ and $b^{[5]}$ are the $5^{th}$ layer ...

Abstract: SimpleConvolution is the most important and time-consuming part of convolutional neural networks (CNN) for image processing. Each slide of the window in two-dimensional convolution will ...

Abstract: Graph-based semi-supervised learning (GSSL) has long been a research focus. Traditional methods are generally shallow learners, based on the cluster assumption. Recently, graph convolutional ...