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Tuning CNN hyper parameters using the grey wolf optimization GWO -- 3

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

Evner: Python, Machine Learning (ML), Deep Learning

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Om arbejdsgiveren:
( 0 bedømmelser ) Jeddah, Saudi Arabia

Projekt ID: #31622909

3 freelancere byder i gennemsnit $22 timen for dette job

sajjadtaghvaeifr

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 (using tensorf Flere

$25 USD in 7 dage
(12 bedømmelser)
4.4
vitaliydudar7

Hello? How are you? Thanks for posting this job. I am a Senior Python developer with 7+ years. I have been doing this kind of python projects many times. Please let me know. Best Regards

$30 USD på 1 dag
(9 bedømmelser)
3.8
muhammasahmed

Hello sir PHP ,Laravel, Shopify and Wordpres Website development Expert here, I have read your description about I am ready to start working with you on this project, I have done these projects. link: https://fotisto Flere

$10 USD in 7 dage
(0 bedømmelser)
0.0