
A machine learning project utilizing a hybrid CNN-LSTM architecture with an attention mechanism for explainable AI.
Jan 1, 2023

Fundamental files to train and evaluate a simple LSTM, MLP, CNN, and RNN model which can be trained on a time-series dataset composed of n input features and m outputs classes.
Jan 1, 2022