https://github.com/yscacaca/DeepIoT

DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework
https://github.com/yscacaca/DeepIoT

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DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework

• Host: GitHub
• URL: https://github.com/yscacaca/DeepIoT
• Owner: yscacaca
• Created: 2017-10-08T20:47:49.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2017-11-23T21:33:52.000Z (over 6 years ago)
• Last Synced: 2024-02-08T21:21:22.894Z (5 months ago)
• Language: Python
• Size: 6.94 MB
• Stars: 27
• Watchers: 6
• Forks: 14
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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• awesome-edge-computing - DeepIoT

README

        
# DeepIoT

Tensorflow 1.2 implementation for the paper:

Yao, Shuochao, et al. "DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework" ACM SenSys, 2017.

## The preprocessed dataset of HHAR task in tfrecord format

https://www.dropbox.com/s/bmwz78do7m0mag0/sepHARData_a_tfrecord.zip?dl=0

## Run the compressing example

```

python DeepIoT_DeepSense_HHAR.py

```