[Music] this video will present a recent paper from Google AI revisiting self supervised visual representation learning so the headline idea this paper is that the standard architecture designs and convolutional neural network advances that have been working in supervised learning tasks like image net classification don't necessarily translate to these self supervised tasks such as predicting the rotation the permutation of jigsaw puzzles or the exemplar augmentation task so this is the ideas are the neural network