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Tuning CNN hyper parameters using the grey wolf optimization GWO

$10-30 USD

Closed
Posted over 2 years ago

$10-30 USD

Paid on delivery
I need to use the grey wolf optimization for tuning the hyper parameters of Convolutional neural network CNN I have build the model but I don’t know how to apply the optimizer for tuning kernal size of convolution and pooling layers and tuning the number of filter
Project ID: 31552249

About the project

3 proposals
Remote project
Active 2 yrs ago

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3 freelancers are bidding on average $25 USD for this job
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Hi, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python and etc. I have PhD from Tohoku University and have several journal publications on the subjects. You can see portfolio for my previous projects. I read about your project and am interested in working with you. Please send me a message so that we can discuss more. Best regards.
$20 USD in 7 days
5.0 (39 reviews)
6.7
6.7
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I am a data scientist, I have worked on many hands on project . I can do this easily...further more information contact me.
$25 USD in 2 days
5.0 (1 review)
0.8
0.8
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I can do. Please share your project details. I will help you. I am experienced in ML, Dnn,and nlp. I can do your project
$30 USD in 7 days
0.0 (0 reviews)
0.0
0.0

About the client

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Jeddah, Saudi Arabia
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Member since Sep 19, 2021

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