Creating a CNN model in simulink from matlab code

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Arvinda Ramsundar
Arvinda Ramsundar 2021-10-10
回答： Shivam Singh 2021-10-13
Goodday,
I successfully ran the code found at: https://www.mathworks.com/matlabcentral/fileexchange/69632-code-for-webinar-deep-learning-for-signals-and-sound
Now I wish to create a simulink model based on the CNN trained in the afforementioned code,I should note that I am new to simulink and have had some difficulties, as far as the research I have done the available deep learning blocks in Simulink would not seem to help in this matter, alterantively I have tried running the CNN as a function but simulink returned numerous errors indicating that it did not recognize majority of the commands utilized in the network testing function. I require some advice in this matter or rather some confirmation whether a CNN trained to denoise audio can even be modeled in Simulink in the first place.

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回答（1 个）

Shivam Singh
Shivam Singh 2021-10-13
Hi Arvinda,
It is my understanding that you want to implement a trained CNN in Simulink. To achieve this, you can utilize the MATLAB function block to generate predictions for your inputs. An example of this can be found at: “GPU Code Generation for Deep Learning Networks Using MATLAB Function Block”
Also, you can import a pre-trained network from a MAT-file or MATLAB function (like googlenet function) using the “Predict” block, available in Deep Neural Network Library.
I hope this helps you.

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