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

Encerrado Postado há 7 anos Pago na entrega
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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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Programação de Banco de Dados Imagem Machine Learning (ML) Matlab and Mathematica Python

ID do Projeto: #13290434

Sobre o projeto

7 propostas Projeto remoto Ativo em há 7 anos

7 freelancers estão ofertando em média $331 nesse trabalho

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. Mais

$55 USD in 0 dias
(42 Comentários)
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