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deepgram_hackathon's Introduction

deepgram_hackathon

Work done for the DeepGram deep learning hackathon.

Attempts to find a latent representation for reconstructing EEG data using convnets, then use this latent represenation to classify and reconstruct images.

Only EEG-to-EEGnet has been trained.

Rest of training to be done on a p2.xlarge AWS ECS instance.

Made AMI (Amazon Machine Image) for TensorFlow 1.0, Python 3.6, CUDA 8.0, CUDNN 5.1, available on US-West-1 (NorCal) servers as ami-822973e2.

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Data has not been added to this repo. Training and validation folders should be added to EEGdata. Cleaned data available at:

Original dataset:

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