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Alleyss/Image_Classification_cifar10

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The CIFAR-10 dataset is a popular dataset for image classification. It consists of 60,000 32x32 color images in 10 different classes, with 6,000 images per class. Using Python with TensorFlow and Keras to build a simple convolutional neural network (CNN) for image classification on the CIFAR-10 dataset,

active 2023-12-312023-12-31 (UTC)

Complete coverage26,345 / 26,345 hourly files (100%) · 2 absent upstream2023-08-152026-08-16 (UTC)
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Line chart, 1 days from 2023-12-31 to 2023-12-31. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

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Alleyss1100

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