Knowledge check

Completed

1.

What does an optimizer do when training a deep learning model?

Removes training data for which predictions are incorrect.

Adjusts weights and biases to minimize loss.

Generates predictions from test data to calculate metrics.

2.

Which method of a PyTorch model class is used to pass data through the network?

backpropagate

fit

forward

3.

Which library can you use to distribute PyTorch training across multiple cluster nodes?

TorchDistributor

Hyperopt

Scikit-Learn

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