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Prediction and detection of epileptic seizures with multilayer/deep NNs and dynamic NNs

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Prediction and detection of epileptic seizures

Machine Learning Course

Objectives of the project:

1- To build, train and test multilayer networks for classification of big data sets. 2- To build, train and test dynamic neural networks (with delays) for multidimensional time series prediction. 3- To face the problem of feature reduction with autoencoders. 4- To configure, train and test Convolutional Neural Networks for multiclass classification (deep learning). 5- To configure, train and test LSTM (Long Short Time Memory Neural Networks) for multidimensional time series classification.

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Prediction and detection of epileptic seizures with multilayer/deep NNs and dynamic NNs

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