Posts tagged VGG

LSD neural net

Jonas Degrave, NN, convolution network, convnet, VGG, image recognition, classifiaction, programmin

We decided that we wanted to try and reproduce this, and make some convnet art ourselves. To save time, we downloaded the parameters for a trained VGG-16 network. This architecture with 16 trainable layers was proposed by Simonyan et al. and was used to reach the 2nd place in the 2014 ImageNet Large Scale Visual Recognition Challenge. A VGG-16 network primarily consists of convolutional layers with 3-by-3 filters, with the occasional 2-by-2 max-pooling layer in between.

http://317070.github.io/LSD/