Which layer produces the final prediction or label?

Get ready for the GARP Risk and AI Exam with flashcards and multiple choice questions. Each question comes with hints and explanations. Prepare for success!

Multiple Choice

Which layer produces the final prediction or label?

The final prediction comes from the output layer. After data passes through the input layer and the hidden layers, which transform and extract representations, the output layer maps that final representation to a label or class probability. It’s where the network’s decision is produced, often using an activation like softmax for multiclass classification or sigmoid for binary classification, or a linear activation for regression. The input layer simply holds the data, hidden layers perform computations to form internal features, and weights are the parameters that connect all layers, not a separate layer themselves.

The final prediction comes from the output layer. After data passes through the input layer and the hidden layers, which transform and extract representations, the output layer maps that final representation to a label or class probability. It’s where the network’s decision is produced, often using an activation like softmax for multiclass classification or sigmoid for binary classification, or a linear activation for regression. The input layer simply holds the data, hidden layers perform computations to form internal features, and weights are the parameters that connect all layers, not a separate layer themselves.

More practice questions