ELMo (Embeddings from Language Models)
ELMo (Embeddings from Language Models) is a deep contextualized word embedding method, introduced in 2018 by the Allen Institute for AI (AI2) and the University of Washington
AI Models
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GoogLeNet (Inception v1)
GoogLeNet, also known as Inception v1, is a 22-layer deep convolutional neural network introduced by Google researchers in 2014 that won the classification task of the ImageNet Large Scale Visual Recognition…
VGGNet
VGGNet is a deep convolutional neural network architecture, introduced in 2014 by Karen Simonyan and Andrew Zisserman of the Visual Geometry Group at the University of Oxford, that classifies images using a…