Backpropagation is a technique used in training Artificial Neural Networks. It involves propagating error information backward through the network, allowing adjustments to be made to the network’s parameters. Backpropagation helps improve the accuracy and effectiveness of neural networks in tasks like pattern recognition and prediction.
ULMFiT is a technique in Natural Language Processing (NLP) that enables transfer learning for NLP tasks. It involves pretraining a language model on a…
