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Hi,
There is not solution for distributed learning so far.
Yes, I guess you could train different nodes with different samples set and share the weights from time to time. I am not sure of the strategy to share weights among nodes (average them ?).
Currently I am fixing/improving ConvNet.Fluent part. My short term objective is to have a working convolutional autoencoder. Once this will be done I will continue my work on LSTM
Hello, is there a solution for distributed learning ?
I think the most obvious is to create a small server then send samples to convnetsharp?
Support of RNN is coming soon?
Thank you:)
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