Subject
3 entries
Convolutional Networks
Bookmarks
What a Deep Neural Network Thinks About Your Selfie
Andrej Karpathy trained a VGGNet on 2 million Instagram selfies to learn what makes a selfie 'good' — using likes-per-follower as the quality signal. Beyond the entertainment value, it's a sharp demonstration of how supervised learning can proxy for human aesthetic judgment at scale.
Recommending Music on Spotify with Deep Learning
Sander Dieleman's write-up of his Spotify internship work — using convolutional neural networks on raw audio spectrograms to generate track embeddings for music recommendation. A landmark applied deep learning paper from 2014, before CNNs on audio became routine.
OverFeat: Integrated Recognition, Localization, and Detection
OverFeat is NYU CILVR lab's deep learning framework for object recognition, localization, and detection using convolutional networks — won the ImageNet 2013 localization task. An important 2014 artifact of Yann LeCun's group.