Great, thank you for the IJulia notebook demo - there is no better way of teaching new stuff than by presenting working sample application!
On Friday, November 28, 2014 4:42:47 PM UTC+1, Chiyuan Zhang wrote: > > Hi all, > > Mocha.jl <https://github.com/pluskid/Mocha.jl> is a Deep Learning > framework for Julia <http://julialang.org/>, inspired by the C++ Deep > Learning framework Caffe <http://caffe.berkeleyvision.org/>. > > Please checkout the new IJulia Notebook demo of using pre-trained CNN on > imagenet to do image classification: > http://nbviewer.ipython.org/github/pluskid/Mocha.jl/blob/master/examples/ijulia/ilsvrc12/imagenet-classifier.ipynb > > Here are detailed change log since the last release: > > v0.0.3 2014.11.27 > > - Interface > - IJulia-notebook example > - Image classifier wrapper > - Network > - Data transformers for data layers > - Argmax, Crop, Reshape, HDF5 Output, Weighted Softmax-loss Layers > - Infrastructure > - Unit tests are extended to cover all layers in both Float32 and > Float64 > - Compatibility with Julia v0.3.3 and v0.4 nightly build > - Documentation > - Complete User's Guide > - Tutorial on image classification with pre-trained imagenet model > > > Best, > pluskid >
