What is Backpropagation Through Time?
Backpropagation through time is a variant of the standard backpropagation algorithm, tailored specifically for Recurrent Neural Networks (RNNs). It is designed to address the challenges of processing sequences of data where the input and output lengths can vary. In standard feedforward neural networks, backpropagation works by calculating gradients to update the network’s weights. However, in...
- Dave Andre
- December 4, 2023