Machine learning 2

Cerrado Publicado hace 4 años Pagado a la entrega
Cerrado Pagado a la entrega

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

Algoritmos Procesamiento de datos Java Machine Learning (ML) Python

Nº del proyecto: #20051739

Sobre el proyecto

4 propuestas Proyecto remoto Activo hace 4 años

4 freelancers están ofertando un promedio de $72 por este trabajo

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

$61 AUD en 10 días
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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 Más

$55 AUD en 7 días
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