We use pretrained networks VGGnet, AlexNet, GoogLeNet, ResNet which trained on the ImageNet dataset as a feature extractor to classify images.
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Updated
Jul 16, 2018 - HTML
We use pretrained networks VGGnet, AlexNet, GoogLeNet, ResNet which trained on the ImageNet dataset as a feature extractor to classify images.
VGGnet for traffic sign classification for the project 2-term1 of udacity self-driving car nanodegree program
A deep learning-based model for image (species) classification tasks
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