Closed

Nuclei segmentation with deep learning

I am doing Nuclei segmentation with deep learning(Torch7). I have a source code which is working on my test images well. now I want to train the code with my own images. my problem is I can not understand the code in training part and couldn't train the system with my own images. I need help in understanding the code and training the system with my own images.

I have the source code, dataset and the paper which described a little.

thanks.

Skills: CUDA, Linux, Python

See more: deep learning code, run deep learning code, run deep learning , Deep learning, NLP, Machine learning,R,Python,Text mining, Deep learning, NLP,Machine learning,R,Python,Text mining, deep learning conversation, \ deep learning\ torch, \ deep learning\ , Deep Learning Chat, how i doing businnes in online, freelance python programming deep learning, freelance jobs deep learning, deep learning signal processing freelancers, deep learning freelancer, deep learning freelance job, deep learning

About the Employer:
( 0 reviews ) Ottawa, Canada

Project ID: #15623004

5 freelancers are bidding on average $191 for this job

$250 CAD in 5 days
(69 Reviews)
5.5
nkoutroumpinis

Entry prices since i am still new to freelancer Relevant Skills and Experience I am working as a professional Data Scientist, you can check my github to get a taste of my ML/DL experience: [url removed, login to view] More

$211 CAD in 3 days
(1 Review)
3.0
RushService

I am here to help you for your project of Nuclei segmentation with deep learning .Please ping me to share further details of the project to make the final deal with in your deadline and budget.

$150 CAD in 3 days
(4 Reviews)
3.3
jap2013

A proposal has not yet been provided

$244 CAD in 3 days
(0 Reviews)
0.0
ardenraman

-Very Nice Job. Professional CNN & DNN & Image Processing & Object tracking & MachineLearning expert. Best result in time----- Relevant Skills and Experience I have high skills and many experiences for the fields suc More

$100 CAD in 3 days
(0 Reviews)
0.0