CODEWITHSUNDEEP
azureazure-machine-learning-service
Nick
Nick

Reputation: 705

Incorrect neural network schema in training output

I'm training a model in Azure ML Studio and the Net# specification I'm using doesn't match the NET# specification in the training output.

Here's my experiment - enter image description here

and here are my NN params -

enter image description here

and finally here is the NET# specification in the Hyperparams output -

enter image description here It's not using two hidden layers and it's also using sigmoid instead of ReLu. Is this expected behavior?

Thanks!

Upvotes: 0

Views: 52

Answers (1)

Roope Astala - MSFT
Roope Astala - MSFT

Reputation: 756

There is an issue with using custom NET# and parameter sweeps together: it switches over to using the default fully connected topology.

Unfortunately, the workaround is to train the model for each parameter value separately.

-Roope

Upvotes: 1

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