Deep Learning, Speech Recognition, Neural Networks, Heartbeat, Machine Learning.
predicts the probability of the next symbol of y{i+1}. The goal here is to basically learn a very good model for p. With the model architecture (left), you have a neural network (which is the decoder in a sequence-to-sequence model) that looks at the entire input (which is the encoder). It feeds in