No_Description_mxnet-examples-with-R.zip

# mxnet examples with R the purpose of this repo is simply to give you an easy access to mxnet and its api ## dependencies: * mxnet * ggplot2 * reshape2 * darch ## to use the code: 1. run preprocessing/get_mnist.R 2. run preprocessing/conversion.R 3. run models/ note that you have to edit directories in some files (to load data or save results) ## model overview | Model | Time to execute* | Type | | ------------- |:-------------------:|:---------------------------------------------------:| | 01 | roughly 1.3 min | very simple (dense) network with 3 layers | | 02 | roughly 43.5 min | 4 dense networks with dropout (batchsize benchmark | | 03 | roughly 13.5 min | CNN with 3 conv + 3 dense layers | | 04 | roughly 2 min | Denoising Autoencoder | \* models were executed on mainstream CPU with 4 cores/4 threads @ 3.9 GHZ I'm planing to add more models in the future (RNNs/lstm, image segmentation models) ## model 01 results:  ## model 02 results:   ## model 03 results:  ## model 04 results for arbitrary digits (top row shows original digits, intermediate row noised images used for training and bottom row prediction):