Analysis of each layer in a Deep Learning Convolutional network

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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?

Answers (1)

Zenin Easa Panthakkalakath
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:


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