BIGBALLON/cifar-10-cnn
Play deep learning with CIFAR datasets
This project provides pre-implemented convolutional neural network (CNN) architectures for classifying small, everyday images like those found in the CIFAR-10 dataset. It takes in image data and outputs predicted categories, demonstrating how different advanced CNN models perform on image recognition tasks. This is ideal for machine learning practitioners and researchers exploring different CNN designs and their effectiveness.
839 stars. No commits in the last 6 months.
Use this if you are a machine learning researcher or student looking to quickly experiment with and compare various state-of-the-art CNN models for image classification.
Not ideal if you need to classify complex, high-resolution images or require models beyond the architectures provided for CIFAR-10.
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Python
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MIT
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Last pushed
Aug 27, 2020
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