Applying Triplet Loss(anchor, positive, negative) to deep learning classification model

Closed Posted 7 years ago Paid on delivery

$30-250 USD

Paid on delivery

Closed Paid on delivery

looking for an expert in deep learning neural network, machine learning and Matlab, who is knowledgeable in caffe and triplet loss (Function) and who also has solid background in image processing, face detection and recognition. the aim is to use all these techniques and methods to classify, and detect thus training and testing very huge dataset.

Triplet Loss Layer/function will be used for further improving the accuracy of DNN results obtained in the classification.

please look below and make sure you understand the scope before proposing for this job

--- [login to view URL]

--- [login to view URL]

Database Programming Imaging Machine Learning (ML) Matlab and Mathematica Python

Project ID: #13290434

About the project

7 proposals Remote project Active 7 years ago

Looking to make some money?

Benefits of bidding on Freelancer

Set your budget and timeframe
Get paid for your work
Outline your proposal
It's free to sign up and bid on jobs

7 freelancers are bidding on average $331 for this job

saied2017's Profile Picture
saied2017

Hello Dear, I'm Mohamed saeed, mechanical and aeronautical engineer . I'm Matlab expert with high experience. specially in image processing toolbox and face recognition based on neural network with pca algorithm. More

$55 USD in 0 days
(42 Reviews)
5.7
Post a project like this