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Network Purning Using Pre-trained Model

$10-30 USD

Imefungwa
Imechapishwa over 5 years ago

$10-30 USD

Kulipwa wakati wa kufikishwa
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.
Kitambulisho cha mradi: 18377366

Kuhusu mradi

2 mapendekezo
Mradi wa mbali
Inatumika 5 yrs ago

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2 wafanyakazi huru wana zabuni kwa wastani $25 USD kwa kazi hii
Picha ya Mtumiaji
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 ndani ya siku 1
4.9 (79 hakiki)
6.2
6.2
Picha ya Mtumiaji
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 ndani ya siku 2
5.0 (1 hakiki)
0.0
0.0

Kuhusu mteja

Bedera ya SAUDI ARABIA
Jeddah, Saudi Arabia
4.8
38
Njia ya malipo imethibitishwa
Mwanachama tangu Des 9, 2013

Uthibitishaji wa Mteja

Asante! Tumekutumia kiungo cha kudai mkopo wako bila malipo kwa barua pepe.
Hitilafu fulani imetokea wakati wa kutuma barua pepe yako. Tafadhali jaribu tena.
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