Deep convolutional neural networks (CNNs) have proven their effectiveness and are widely acknowledged as the dominant method for image classification. However, their lack of explainability remains a ...

Hands-On Graph Neural Networks Using Python This is the code repository for Hands-On Graph Neural Networks Using Python, published by Packt. Practical techniques and architectures for building ...

This paper will explain what an artificial neural network is and how it works in theory. To make it easier to explain how an artificial neural network works, the first part will explain the ...

Significance Neural networks are powerful tools for processing visual inputs, but precisely how this processing is performed remains unclear. We introduce a recurrent neural network that can perform ...

Researchers developed a tool that simplifies the identification of errors in neural networks used for image recognition.

Graph neural networks are a highly effective tool for analyzing data that can be represented as a graph, such as social networks, chemical compounds, or transportation networks. The past few years ...

Mahotas is an advanced python library for image processing and computer vision that offers advanced functionalities like thresholding, convolution, morphological processing, and much more.