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Tuning CNN hyper parameters using the grey wolf optimization GWO

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

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

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Concernant l'employeur :
( 0 commentaires ) Jeddah, Saudi Arabia

Nº du projet : #31552249

4 freelances font une offre moyenne de 31 $ pour ce travail

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 and etc. I hav Plus

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(12 Commentaires)
4.4
fazeelraza

Hi, I have done neural networks and model optimizations before and I can work on your project. Feel free to share additional details and get started. Thank you!

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(1 Évaluation)
2.0
amrutakumbar

I am a data scientist, I have worked on many hands on project . I can do this easily...further more information contact me.

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0.9
sridhard009

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

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(0 Commentaires)
0.0