Limestones's repositories

Debug-Logfiles4Lisa

线上记事本

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firstHello

The repo for learning how the usage of githup

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HAR-stacked-residual-bidir-LSTMs

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

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lisa-caffe-public

Lisa Anne's public caffe code.

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LSTM-Human-Activity-Recognition

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

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ReInspect

End to end detection in crowded scenes

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