Costomized algorithm to train a convolutional neural network
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Hi, is it possible to train a convolutional neural network, designed with the deep learning toolbox, using a customized algorithm instead of using one of the available 'solverName' in 'options = trainingOptions(solverName)'? E.g. I have designed a convolutional neural network using the toolbox, I need now to train it, but I want to use an algorithm I have designed instead of using SGD with momentum.
Thank you in advance,
Federico
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Shounak Mitra
2019-5-22
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This is something that we're working on. We hope to support the flexibility of letting users write custom solvers in the very near future.
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