"Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet"
A "bag of words" of nets on tiny 17x17 patches suffice to reach AlexNet-level performance on ImageNet. A lot of the information is very local.
Paper: https://openreview.net/forum?id=SkfMWhAqYQ
#fun #CNN #CV #ImageNet
A "bag of words" of nets on tiny 17x17 patches suffice to reach AlexNet-level performance on ImageNet. A lot of the information is very local.
Paper: https://openreview.net/forum?id=SkfMWhAqYQ
#fun #CNN #CV #ImageNet
OpenReview
Approximating CNNs with Bag-of-local-Features models works...
Aggregating class evidence from many small image patches suffices to solve ImageNet, yields more interpretable models and can explain aspects of the decision-making of popular DNNs.
Lo-Fi Player
The team from the magenta project, that does research about deep learning and music powered by TensorFlow in Google, obviously, release a new fun project lofi-player powered by their open-source library magenta.js.
So it's basically a lo-fi music generator which popular genre on youtube streams and other kinds of stuff. You can customize the vibe on your manner and wish from sad to moody, slow to fast, etc.
It is based on their earlier work MusicVae to sample latent space of music and MelodyRNN to generate music sequences from different instruments. The project is not about new research, but to show what can do with an already done library in a creative way.
They also create a stream on youtube to listen lo-fi generated by that application and users in chat can together tune lo-fi player in stream :)
#magenta #lo-fi #music #google #tensorflow #fun
The team from the magenta project, that does research about deep learning and music powered by TensorFlow in Google, obviously, release a new fun project lofi-player powered by their open-source library magenta.js.
So it's basically a lo-fi music generator which popular genre on youtube streams and other kinds of stuff. You can customize the vibe on your manner and wish from sad to moody, slow to fast, etc.
It is based on their earlier work MusicVae to sample latent space of music and MelodyRNN to generate music sequences from different instruments. The project is not about new research, but to show what can do with an already done library in a creative way.
They also create a stream on youtube to listen lo-fi generated by that application and users in chat can together tune lo-fi player in stream :)
#magenta #lo-fi #music #google #tensorflow #fun
Lo-Fi Player
Interactive lofi beat player.