Network Analyzer analyzes the deep learning network architecture specified by layers. The layer information includes the sizes of layer activations and learnable parameters, the total number of learnable parameters, and the sizes of state parameters of recurrent layers. Use the network analyzer to
• Visualize and understand the network architecture,
• Check that you have defined the architecture correctly,
• Detect problems before training.
Problems that analyzeNetwork detects include
• Missing or disconnected layers,
• Mismatching or incorrect sizes of layer inputs,
• Incorrect number of layer inputs,
• Invalid graph structures.
net = googlenet
How is this network used? How to retrain? So input and output data? Which god can help to explain it?
Nice, How do I get a total number of network learnables? I can't copy the list to excel, need to sum them manually :)
Currently on 2018b and I can't download this toolbox nor can I use analyzeNetwork command as it's supposed to be implemented in the prerelease. I have the deep learning toolbox.
As of 2018b, this appears to be integrated into the Deep Learning Toolbox (formerly the Neural Network Toolbox). Huzzah!
Well, for starters I'd just like to see this *exactly as it is* incorporated into Matlab, because it's great. But if you want a wish list, it would be great to incorporate the generation of the horizontal layer diagrams that are typically incorporated into research papers, e.g. this one I chose randomly from Google Images: https://bit.ly/2KYvClC
Hi @Daniel, thank you for your comment. Can you tell us more exactly what sort of convnet diagrams you would like to see in the Network Analyzer? Do you have a specific example? We appreciate your feedback.
This is fantastic... is this on the roadmap for integrating into the NN toolbox? This doesn't feel like an extra, it feels like an absolute necessity. Also, are there plans to incorporate convnet diagrams into this toolkit?
Very Helpful for diagnostic purposes
Thanks a lot! It would be awesome if analyse result could be exported as well e.g. as a cell array.
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