Here is a sample of what the neural network is able to do: In this notebook, we build an autoencoder CNN with the Keras library. First, we do some data exploration and cleaning Second, we build our ...

Official implementation of our 2022 IEEE LA-CCI paper Student Dropout Prediction using 1D CNN-LSTM with Variational Autoencoder Oversampling by Eduarda C. Coppo, Rhuan S. Caetano, Leandro M. de Lima ...

In this article, we will cover a simple Long Short Term Memory autoencoder with the help of Keras and python. What is an LSTM autoencoder? LSTM autoencoder is an encoder that makes use of LSTM encoder ...

To address imbalance, an approach using weighted loss function and an approach using synthetic data generated through a combination of variational autoencoder and the Adaptive ... predicting evasion ...