rxNeuralNet
model in
MicrosoftML
package supports custom neural networks defined using the
NET#
language. We can use the
NET#
language to define a
convolutional neural network
. In this blog we will give a NET# definition string for the
AlexNet
model. The model is a direct conversion of the Caffe implementation. It's worth noting that an R implementation of AlexNet is barely available at the time this blog is written. The NET# definition string file is separated into 10 zip files and hosted on
GitHub
.
rxNeuralNet
model. Note that the entire NET# definition string is about 930 MB in size.
rxNeuralNet
and NET# don't support
dropout
yet. Due to restricted use of the ImageNet Data, the model is not tested for performance or accuracy.
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