Neural network for image classification
We use CIFAR-10 dataset, it contains 10 classes with 6 000 images per class. Total of 60 000 images. Each image is in RGB and 32x32 pixels. http://www.cs.utoronto.ca/~kriz/cifar.html
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Convolutional neural network for image classification developed in Java with Deeplearning4j framework using CIFAR-10 dataset. Classification for 60 000 RGB 32x32 images equaly distributed among 10 classes.
JPLeoRX/image-classifier
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Convolutional neural network for image classification developed in Java with Deeplearning4j framework using CIFAR-10 dataset. Classification for 60 000 RGB 32x32 images equaly distributed among 10 classes.
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