Motor-Imagery-Tasks-Classification-using-EEG-data

Motor-Imagery-Tasks-Classification-using-EEG-data

shariharan205

Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data

71 Stars
22 Forks
71 Watchers
Jupyter Notebook Language
Cost to Build
$980.6K
Market Value
$1.57M

Growth over time

7 data points  ·  2021-08-01 → 2023-07-01
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What is the shariharan205/Motor-Imagery-Tasks-Classification-using-EEG-data GitHub project? Description: "Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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