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Classification of Tiny-Imagenet-200 dataset without any pretrained weights

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Tiny-imagenet-200

Classification of Tiny-Imagenet-200 dataset without any pretrained weights

Architecture Used

Densenet-201 with a shallow network with following layers:

GlobalAveragePooling2D()
Dropout(0.4)
Softmax layer of 200 units.

Accuracy

Top-1 : 31.69%
Top-5 : 57.58%

Error

Top-1 :2.99
Top-5 :2.99