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 project explores image classification using CNNs on the CIFAR-10 dataset. It optimizes CNN architecture for high accuracy, showcasing its efficacy in diverse real-world applications. This project ...

Convolutional neural networks (CNNs) have been applied to visual tasks since the late 1980s. However, despite a few scattered applications, they were dormant until the mid-2000s when developments in ...

Abstract: Convolutional neural networks (CNNs) have been applied to visual tasks since the late 1980s. However, despite a few scattered applications, they were dormant until the mid-2000s when ...

The project involves building an image classification system using Convolutional Neural Networks (CNNs). CNNs are widely used for image-related tasks and have achieved remarkable success in various ...

Image identification and computer vision problems are aided by convolutional neural networks. Computer vision is a paradigm that allows computers and systems to extract useful information from digital ...

A model of Convolutional Fuzzy Neural Network for real world objects and scenes images classification is proposed. The Convolutional Fuzzy Neural Network consists of convolutional, pooling and ...