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Need to Fine tune model to avoid const val accuracy ,val precision,val recall

I have dataset of retina disease , which is basically a mullticlass dataset I want someone to fine tune model to resolve the const val parameter issue, and accuracy should be at least 90%.

link for dataset - [login to view URL]

link for notebooks - [login to view URL]

Skills: Machine Learning (ML), Deep Learning, Computer Vision

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( 0 reviews ) Nagpur, India

Project ID: #30237946

10 freelancers are bidding on average ₹10667 for this job

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himasha0421

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pandaPython123

Hi, I am doing my PhD in computer vision and deep learning. I have 4 years experience in tensorflow and keras. I would be happy to help you with your project. Best, Mehdi

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FirmMinds123

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suyashdhoot

Hi I am a very experienced biostatistician, data scientist and academic writer. I have completed several PhD level thesis projects involving advanced statistical analysis of data. I have worked with data from several c More

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sramireddy065

Hello Thank you for viewing my proposal I went through your project requirements. I'm sure that I can complete this project. If you share precise information about this project, I can complete this project. Coming t More

₹4444 INR in 1 day
(9 Reviews)
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kishan99999

Hi, Straight to the point, I am quite familiar with multiclass semantic segmentation that you are looking for the retina disease problem. I can train the model with high accuracy using python notebook on tesla GPU. M More

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3.2
Raja08021991

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0.0
AkashRawatML

This is my area of expertise. I have been doing predictive modelling from last three years and moerover I had recently delivered such projects with above 90% accuracies.

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0.0