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 ...

Example using CNN for image recognition in iOS 10 leveraging tensor flow This repo is a bit out of date. Apple released Core ML and Vision framework with iOS 11 that makes image recognition much ...

The multi-level information fusion model based on the VGG16 model is an improvement on the fully connected neural network. Different from full connection network, convolutional neural network does not ...

This paper aims the study and implementation of Convolutional Neural Network (CNN) for Image character recognition. Handwritten Character Recognition involves recognition of texts present in digital ...

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 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 ...

A mixture of convolutional neural networks for adult content recognition 1. Unlike other works, our method is formulated on a weighted sum of multiple deep neural network models. The weights of each ...