Network Purning Using Pre-trained Model

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I am using Pre-trained CNN model in matlab , I am trying now to purn the network by reducing the number of parameters in CONV layers. when I did that , I face below issue Error using vl_nnconv The FILTERS depth does not divide the DATA depth. Error in vl_simplenn (line 300) res(i+1).x = vl_nnconv(res(i).x, [login to view URL]{1}, [login to view URL]{2}, ... I need someone to fix the issue, I think it is releated to the compatibility of the number of feature maps and the number of filters between layers. My budget is fixed and = 25$ I need it to be done as soon as possible Thank you.

Image Processing

Machine Learning (ML)

Matlab and Mathematica

项目 ID: 18377366

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@uzairrzahid

Hi. My name is Uzair.I did my masters in Electrical Engineering. I have done my thesis in biomedical signal processing and Machine learning. I have more than 3 years of experience in Python/MATLAB specially in Machine learning/Deep Learning, Image processing and Signal processing. I have knowledge and understanding of state of the art machine learning algorithms like SVM, neaural networks as well as basic algos like KNN and clustering. I have also worked with sklearn and keras in PYTHON. I have experience with tensorflow,Keras,Pytorch and a ot of other ML libraries. I have recently organized a bootcamp on AI and machine learning in my university. Due to my vast coding experience , I can handle your project with quality work. Kindly share some more details so that I can offer the exact solution to your problem. Regards

$25 USD 在1天之内

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@supersai007

I have been working in pruning and compressing cnn models for two years. Find attached paper which I have published too. Though I have done everything on pytorch but I am also proficient in matlab.

$25 USD 在2天之内