https://github.com/ayushexel/neuralnet-humanactivityrecognition
This project uses neural network built from scratch to detect human activity.
https://github.com/ayushexel/neuralnet-humanactivityrecognition
artificial-intelligence deep-learning machine-learning-algorithms neural-network python python3
Last synced: 7 months ago
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This project uses neural network built from scratch to detect human activity.
- Host: GitHub
- URL: https://github.com/ayushexel/neuralnet-humanactivityrecognition
- Owner: AyushExel
- Created: 2017-07-13T11:13:46.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-07-31T11:42:42.000Z (about 8 years ago)
- Last Synced: 2025-02-08T09:45:00.472Z (8 months ago)
- Topics: artificial-intelligence, deep-learning, machine-learning-algorithms, neural-network, python, python3
- Language: Python
- Homepage:
- Size: 23.7 MB
- Stars: 2
- Watchers: 3
- Forks: 2
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# NeuralNet-HumanActivityRecognition
This program uses 3 layer fully connected neural network to detect human activity with approximately 98% train and 96% test accuracy.
## Dependencies:
* Numpy
All the details about parameters and Algorithm are clearly mentioned along with the code. The train and test datasets can be found in # Activity folder.
More details about the problem statement can be found here https://www.kaggle.com/uciml/human-activity-recognition-with-smartphones