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.
Bias in AI refers to systematic errors or prejudices that can occur within AI systems due to biased training data, faulty algorithms, or human…