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It has historically helped companies measure their marketing plans' impact by combining deep modeling with expertise in software applications.
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StackExchange too is a fairly simple but deep model — they both also have moderation systems that are really interesting (if you're the sort of person who's interested by moderation systems, that is).
We consider that CNNs with deep model can also be effective for blind image forensics.
Figure 17 indicates resistivity cross section based on 2D NLCG inversion along profile three (Deep Model).
The deep model has 4 hidden layers with each containing 500 neurons.
To overcome this drawback, we first fine-tune a deep CNN model named imagenet-vgg-f [34] to transfer the cloud information to the deep model.
The performances of the deep models (i.e. Stacked Auto-encoder) are comparable.
Experimental results show that the deep model is effective for abnormal event detection in video surveillance.
Approaching the problem as a regression task, we represent vessel images by either generic deep models we designed for marine vessels or deep models trained for estimating specific attributes.
Figure 16 shows a resistivity cross section based on 2D NLCG inversion along profile D2 (Deep Model) (PBG Report, 2014).
Moreover, Han et al. use pruning, trained quantization and huffman coding to compress the deep model [36].
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com