Applying Triplet Loss(anchor, positive, negative) to deep learning classification model
$30-250 USD
Pagado a la entrega
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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Nº del proyecto: #13290434