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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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Accepted Answer

Shounak Mitra
Shounak Mitra on 22 May 2019
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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