Rnn, Time Series With Rnns, Python Darts, Deep Dives, Hands On Tutorials.
their respective gradients. The fraction represents the learning rate, a value above 0 and up to 1. new weight = old weight — gradient * learning rate A higher learning rate — closer to 1.0 — can speed up the training process of the RNN, but it can also cause overshooting, preventing the network