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README.md
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@@ -24,6 +24,8 @@ The architecture is inspired from David Page’s (myrtle.ai) DAWNBench winning m
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4. You can also select whether to show misclassified images - these are the images that the model misclassified. Please select the number of misclassified images to display - the pipeline selects the bunch randomly from the misclassified images in the test set.
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5. Some examples are provided in the examples tab.
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## CIFAR-10 Dataset
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The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images.
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4. You can also select whether to show misclassified images - these are the images that the model misclassified. Please select the number of misclassified images to display - the pipeline selects the bunch randomly from the misclassified images in the test set.
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5. Some examples are provided in the examples tab.
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>Please refer to the training repo - https://github.com/Madhur-1/ERA-v1/edit/master/S12 for more details on the training.
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## CIFAR-10 Dataset
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The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images.
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