LSTM-FCN for cardiology

This algorithm consists of 2 parts: a LSTM block and a FCN part with 3 convolution layers. Long short-term memory recurrent neural networks are an improvement over the general recurrent neural networks,which possess a vanishing gradient problem. LSTM RNNs address the vanishing gradient problem commonly found in ordinary recurrent neural networks by incorporating gating functions into their state dynamics. For more information about LSTM networks, you can read this great article by Christopher Olah. In addition to the LSTM block, this part also includes a dimension shuffle.