Passing dlarrays to Alexnet

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NavMi
NavMi 2022-9-28
回答： Himanshu 2025-1-17
Dear community,
As a part of training a custom DL model, I want to pass an 'image' to Alexnet and extract an intermediate layer's activation. The issue that I have is that the image is dlarray, i.e., a matrix with learnable parameters of my custom network - therefore, it needs to stay dlarray in order to be traceable. Alexnet is not accepting dlarrays, so activation(), predict() and forward() are useless here. Any advice on how to best approach this?

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回答（1 个）

Himanshu
Himanshu 2025-1-17
Hello,
To pass a "dlarray" to AlexNet and extract intermediate activations, convert the "dlarray" using "extractdata", process it through AlexNet, and convert the output back if needed.
Deep learning array for customization: https://www.mathworks.com/help/deeplearning/ref/dlarray.html
Extract data from "dlarray": https://www.mathworks.com/help/deeplearning/ref/dlarray.extractdata.html
Alternatively, convert AlexNet to a "dlnetwork" using MATLAB's "dlnetwork" function, which accepts "dlarray" inputs directly. This allows you to extract activations using the "forward" method while maintaining parameter traceability.
Compute deep learning network output for training: https://www.mathworks.com/help/deeplearning/ref/dlnetwork.forward.html
I hope this helps.

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