Machine learning 2

Closed Posted 4 years ago Paid on delivery
Closed Paid on delivery

Your task is to prepare data reader for the training code and evaluate several training configurations, which are:

1-UNet vs LinkNet vs MobileUNet comparison

2-Increased filter size (from 3x3 to e.g. 7x7)

3-Location augmentation as described here: [login to view URL]

4-SegCaps - 4th architecture to test (as an addition to 3 architectures from #1) which should be taken from here: [login to view URL]

_This means you need to perform at least 6 training (3 for #1 and 1 for each of #2, #3 and #4). Make sure you optimize hyperparams before the actual training.

-Hopt module should help in this, but you can obviously perform the optimizations your own way. If you decide to stick to hopt, you can find some explanations here: [login to view URL]

after you finish, you have to run the code on my laptop and show the comparison between each model which one the best and why .. by create reports and put all the results for each model with graphs . please put comments inside the code to make everything clear

Algorithm Data Processing Java Machine Learning (ML) Python

Project ID: #20051739

About the project

4 proposals Remote project Active 4 years ago

4 freelancers are bidding on average $72 for this job

sachchusinghal

Hello,l What is dataset and who wil give data set Model implementation is to be done with Python? Do we have to use any framework. Also I hope that the mentioned budget is dummy budget. Thanks, Sachin

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PageOllice

Hello Dear, I have expertise in PHP, JavaScript, Laravel, WordPress and HTML. I have 11+years experience in mobile and web development. I am interested in your project and invite you to discuss in details. Please repl More

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