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
