What is the backpropagation algorithm used for?Question 2Answera.Data visualizationb.Data analysisc.Data miningd.Training artificial neural networks

The backpropagation algorithm is used for d. Training artificial neural networks.

Here's a step-by-step explanation:

1. Backpropagation is a method used in artificial intelligence (AI) to train neural networks.

2. The algorithm works by calculating the gradient of the loss function with respect to each weight in the network, which in turn helps in adjusting the weights to minimize the loss.

3. The process starts from the output layer, moving backward through each layer, hence the name 'backpropagation'.

4. The weights are updated to reduce the error between the actual output and the expected output.

5. This process is repeated for each input in the training set until the network is adequately trained and the error is minimized.

6. The result is a trained network that can accurately make predictions when given new, unseen data.