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This repo contains a number of standard deep learning models that can be run with the neon libraries. The specific model type subdirectories include more detailed information on the various models. Below is a summary of the various tasks and models included here that address those tasks.

Image classification

ImageNet

  • Googlenet
  • VGG
  • Alexnet

CIFAR-10

  • Deep Residual Network
  • All CNN

Object localization

  • Fast-RCNN

Scene Classification

  • Deep Residual Network

Image Captioning

  • LSTM

Video Games

  • Deep Q-network

NLP

bAbI (Question Answering)

  • GRU/LSTM model

Sentiment classification

  • LSTM (IMDB dataset)

Video

  • C3D (UCF101 dataset)

Transfer Learning

  • Classification using multi scale sampling (PASCALVOC dataset)

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  • Python 88.0%
  • Shell 12.0%