Applying Triplet Loss(anchor, positive, negative) to deep learning classification model -- 2
$30-250 USD
Închis
Data postării: aproape 7 ani în urmă
$30-250 USD
Plata la predare
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
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!!!!!Hello!!!!!
How are you?
I've a great interest in your project as a Computer Vision and Face Recognition expert who have been specializing in this field for over 10 years.
As you can check from my portfolio and previous project reviews, I'm not only good at Face Recognition but also at Object Oriented programming.
I feel confident that can fulfill your requirements.
Please contact me so that I can discuss with you on the project more in detail.
Thanks and Regards,
Richard Minh.
we can start ur work immediately.
we have 10 yrs experience as Senior Research Engineers in telecom domain,
we have done design and coding in
1. MATLAB
2. LabVIEW
3 VHDL,Verilog
4. Micro controller coding
5. DSP,DIP
Hello,
I have seen your work. I am happy to inform you that I am the right person for your job.
I have great experience in Matlab and Python therefore confident of my skills.
Looking forward to working with you.
Thanks,
Joyous