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.
APACHE-2.0 License
The deeplearning algorithms implemented by tensorflow
Face recognition using Tensorflow
A curated list of dedicated resources and applications
Handwritten recognition with slice+cnn+lstm/multidimentional lstm/cnn+lstm
News summarization using sequence to sequence model with attention in TensorFlow.
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN...
all kinds of text classification models and more with deep learning
The RWTH extensible training framework for universal recurrent neural networks
Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow