pramodyasahan/PyTorchCIFAR10

This project implements a Convolutional Neural Network (CNN) to classify images from the CIFAR-10 dataset. The CIFAR-10 dataset consists of 60,000 32x32 color images in 10 different classes, with 6,000 images per class. The model is trained to recognize these classes using deep learning techniques.

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MIT

Category

cifar-10-image-classification

Last pushed

Apr 04, 2024

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CIFAR 10 Image Classification · 111 frameworks

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