zakarm / CIFAR10-DATASETLinks
This project is a simple implementation of a convolutional neural network (CNN) using TensorFlow to classify images from the CIFAR-10 dataset. The CIFAR-10 dataset consists of 60,000 32x32 color images in 10 classes, with 6,000 images per class. The dataset is split into 50,000 training images and 10,000 testing images.
☆8Updated 2 years ago
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