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Analysis of each layer in a Deep Learning Convolutional network

Asked by Andreas Jørgensen on 11 Mar 2019
Latest activity Answered by Zenin Easa Panthakkalakath on 15 Mar 2019
Hi, I am new to the Deep Learning toolbox and I need to guidance on how to proceed:
I have trained my network (A modified GoogleNet) and I need to evaluate the performance of the network, therefore I would like to acquire the output after Layer 1, 2 etc to get more in depth on the performance.
Is there a way to take an image A, feed that to the network and acquire the output after layer X?
Thanks!

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1 Answer


Hi Andreas,
You can do this by using the following command:
>> activations(net,X,layer)
where 'net' is the trained network, X is the input data and 'layer' is the layer name.
Have a look at the following documentation for more information:
Regards,
Zenin

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