ccess the disk to load samples. For the Kinetics dataset on the othe… dataset on the other hand is around 1 TB. Most of the deep learning compute-resources available at TwentyBN are equipped with around 128 to 512 GB of RAM. This means that ImageNet will easily fit into the file system cache of many of these machines. This means training will be slow during the first epoch. After that, all the images will be cached in memory anyway and you will no longer need to access the disk to load samples. For the Kinetics dataset on the other ha…