Handling Underfitting:
- Get more training data.
- Increase the size or number of parameters in the model.
- Increase the complexity of the model.
- Increasing the training time, until cost function is minimised.
How do I fix Underfitting problems?
Eliminating Underfitting
- Increase the size or number of parameters in the ML model.
- Increase the complexity or type of the model.
- Increasing the training time until cost function in ML is minimised.
How do you overcome Underfitting in neural networks?
Reducing underfitting
- Increasing the number of layers in the model.
- Increasing the number of neurons in each layer.
- Changing what type of layers we're using and where.
