Analysis of each layer in a Deep Learning Convolutional network

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Andreas Jørgensen
Andreas Jørgensen 2019-3-11
回答： Zenin Easa Panthakkalakath 2019-3-15
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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回答（1 个）

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:
https://www.mathworks.com/help/deeplearning/ref/activations.html
Regards,
Zenin

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