Convolutional neural network and CIFAR-10, part 2 | Nghia Ho
Last Updated on July 3, 2013 by nghiaho12 Spent like the last 2 weeks trying to find a bug in the code that prevented it from learning. Somehow it miraculously works now but I haven’t been able to figure out why. First thing I did immediately was commit it to my private git in case I messed it up again. I’ve also ordered a new laptop to replace my non-gracefully aging Asus laptop with a Clevo/Sage
Convolutional neural network and CIFAR-10 | Nghia Ho
Last Updated on June 29, 2013 by nghiaho12 I’ve been experimenting with convolutional neural networks (CNN) for the past few months or so on the CIFAR-10 dataset (object recognition). CNN have been around since the 90s but seem to be getting more attention ever since ‘deep learning’ became a hot new buzzword. Most of my time was spent learning the architecture and writing my own code so I could un
RBM, L1 vs L2 weight decay penalty for images | Nghia Ho
Last Updated on February 13, 2013 by nghiaho12 I’ve been fascinated for the past months or so on using RBM (restricted Boltzmann machine) to automatically learn visual features, as oppose to hand crafting them. Alex Krizhevsky’s master thesis, Learning Multiple Layers of Features from Tiny Images, is a good source on this topic. I’ve been attempting to replicate the results on a much smaller set o
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