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GitHub topics: bidirectional-lstm-cells

guillaume-chevalier/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.

Language: Python - Size: 521 KB - Last synced at: 20 days ago - Pushed at: over 2 years ago - Stars: 319 - Forks: 99

johnsmithm/handwritten-sequence-tensorflow

Tensorflow implementation of handwritten sequence of small letters recognition.

Language: Python - Size: 125 KB - Last synced at: 15 days ago - Pushed at: about 8 years ago - Stars: 21 - Forks: 9

Related Keywords
bidirectional-lstm-cells 2 tensorflow 2 human-activity-recognition 1 lstm 1 residual-layers 1 residual-lstm-cells 1 rnn 1 stacked-layers 1 convolutional-neural-networks 1 deep-learning 1 deep-neural-networks 1 handwriting-ocr 1 handwritten-text-recognition 1 machine-learning 1 python 1