Developer trains ImageNet-1k classifier on an Android device

The MLP architecture model contains 500K parameters and achieved a 4.59% top-1 validation accuracy on the ImageNet-1k dataset. Training was performed entirely on an Android smartphone using a downscaled version of the dataset.