Glossary

Backpropagation plays an essential role in training artificial neural networks, where it minimizes the loss function by optimally adjusting weights and biases.

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Backpropagation Through Time (Bptt) is employed for efficient RNN training. It extends traditional backpropagation, integrating temporal data sequences for optimized performance.