How to get deep learning layer output size?
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Hi,
I am getting to know MATLAB's capability with deep learning (I am fluent in TensorFlow).
I built a very big computation graph.
My question is :
How can I get a specific layer's output sizes without training the network? (for dubugging purposes)
I know that I can do:
features = activations(net,X,layer)
but this requires me to train the network (I want to avoid it since it will take a while).
Thanks
采纳的回答
Maria Duarte Rosa
2019-4-5
3 个投票
Hi Itzik,
Have you tried analyzeNetwork?
4 个评论
Itzik Ben Shabat
2019-4-6
Mirko Prezioso
2020-12-3
Hi, is there a way to extract the data from AnalyzeNetwork? I mean not just having them in graphical form but as output arrays to be able to use the data. I am looking for the Learnables total size.
Thanks
Utkarsh Virtuous
2021-1-19
net.Layers().Weights give you the learned parameters. Specify the layer number in bracket.
Angelo Yeo
2024-2-9
编辑：Angelo Yeo
2024-2-9
@Mirko Prezioso: A new class NetworkAnalysis will be added from R2024a. This class can be retrieved as an output of analyzeNetwork function, and will capture the output of analyzeNetwork. This will include a property called "LayerInfo" as a table.
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