- obtained 37.2% test accuracy, on next move prediction task, using 33.6 million training examples from kgsgo v2 dataset
- commandline used
deepcl_train dataset=kgsgoall netdef=12*(32c5z-relu)-500n-tanh-361n numepochs=15 learningrate=0.0001 - 2 epochs, 2 days per epoch, on an Amazon GPU instance, comprising half an NVidia GRID K520 GPU (about half as powerful as a GTX780)
- commandline used
- obtained 99.5% test accuracy on MNIST, using
netdef=rt2-8c5z-relu-mp2-16c5z-relu-mp3-150n-tanh-10n numepochs=20 multinet=6 learningrate=0.002- epoch time 99.8 seconds, using an Amazon GPU instance, ie half an NVidia GRID K520 GPU (since we are learning 6 nets in parallel, so 16.6seconds per epoch per net)
- started to look at running the soumith benchmarks on a K520, though it's early days for such large images for now