yiiwood/VQA_LSTM_CNN
Train a deeper LSTM and normalized CNN Visual Question Answering model. This current code can get 58.16 on OpenEnded and 63.09 on Multiple-Choice on test-standard.
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Train a deeper LSTM and normalized CNN Visual Question Answering model. This current code can get 58.16 on OpenEnded and 63.09 on Multiple-Choice on test-standard.
谷歌全新开源人工智能系统TensorFlow官方文档中文版
Parameter server framework for distributed machine learning
Hierarchical Convolutional Features for Visual Tracking (ICCV 2015)