Convolutional Neural Networks (CNNs) are a type of deep learning model primarily used for image processing, recognition, and classification tasks. 🖼️ They are designed to automatically and ...

Convolutional Neural Networks (CNNs) are cornerstones of modern image recognition. They're designed to take in grid-like data, such as an image. Breaking up images into smaller, manageable pieces, ...

In order to improve the accuracy of the flower image recognition, a convolutional neural network (A-LDCNN) model based on attention mechanism and LD-loss (Linear Discriminant Loss Function) is ...

Abstract: In this paper, we propose an optimization method for face infrared image recognition model based on convolutional neural network for the challenge of limited computational resources of edge ...

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition. - bgshih/crnn. ... Model snapshots and logging file will be saved into the model directory. ... , title = {An End-to ...

In machine learning, Convolutional Neural Networks (CNN or ConvNet) are complex feed forward neural networks. CNNs are used for image classification and recognition because of its high accuracy. It ...

This paper proposes an end-to-end trained fully convolutional neural network model to process 3D image volumes. Unlike previous works that processed the input volumes slice-wise or patch-wise, the ...