What are class weights in deep learning and why are they important?

What are class weights in deep learning and why are they important?

Class weights are used to address class imbalance in datasets by assigning different weights to classes during training.

How do I implement class weights in a neural network?

You can implement class weights in frameworks like TensorFlow or PyTorch by passing a weights parameter during model training.

Can you give an example of when to use class weights?

Sure! If you have a dataset with 90% of one class and only 10% of another, using class weights can help the model learn better.

What happens if I don't use class weights?

Without class weights, the model may become biased towards the majority class, leading to poor performance on the minority class.