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.
Transfer Learning is a technique that allows AI models to apply knowledge gained from one task to another related task. By leveraging pre-trained models…