Data Science, Artificial Intelligence, Deep Learning, Machine Learning, Neural Networks.
flows in the following many-tomany (synced) RNN: Figure 7: General form of a many-to-many (synced) RNN As you can see, each output is calculated based on its corresponding input and all the previous outputs. One common use case for this type of RNN is time series forecasting, where we want to