What’s the best way to format and train ImageNet from scratch? The official tutorial for ImageNet is really slow. Tensorflow suggests tfrecords, what’s the analogous approach for PyTorch? Does anyone have a standalone tutorial/example for doing this?
Thanks in advance,
Spandan