Neural Networks

4. This is produced by the output layer.
7. A function that adds non-linearity to a neural network.
8. What training data is used for when modeling.
10. The initial settings applied when creating a model before specialized tuning.
11. When noise is fit by a neural network, you have ___ the data.

1. Weights are added to neural networks using this.
2. A type of validation that creates a single training and testing split.
3. Inspiration for neural networks
5. Purpose of a loss function (There is an underscore for a space between two words)
6. This happens when the learning rates are too high.
9. The layer that receives raw input in a neural network.