EEG_classification

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EEG_classification

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EEG multi-classification task with DL models (CNN, LSTM)

EEG_classification 최신버젼 다운로드

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# EEG_classification
In this repository you will see how to solve a Multiclass classificationt task in python. Different DL algorithms will be tried.

## Tablet of Contents
* [General info](#general-info)
* [Code](#code)
* [Technologies](#technologies)
* [Dependencies](#dependencies)

## General info
These data came from a University Deep Learning challenge, which was hosted in [Codalab](https://codalab.org/). My team developed different algorithms but here I will show you the ones that I personal created, namely:

* CNN 1D
* CNN 1D + LSTM
* CNN 2D

Moreover, a report can be found [here](https://github.com/F-Lauria/EEG_classification/blob/master/docs/report.pdf). In the report you can find descritpions of all the models that the team developed, not only the ones shared here.

## Code

In [this notebook](https://github.com/F-Lauria/EEG_classification/blob/master/code/EEG_classification.ipynb) you will find all the models previously mentioned (CNN1D, CNN1D + LSTM and CNN2D).

## Technologies

All the algorithms are written in Python. The hardware of my machine is not powerful so I ran all the models in Google Colab, [here](https://medium.com/better-programming/one-stop-guide-to-google-colab-d67c94d30516) a nice tutorial about how to use it.

## Dependencies

* NumPy
* Pandas
* Sklearn
* Keras

EEG_classification

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