In the previous chapter, we learned various strategies to guide AI models 'down the mountain' (optimization algorithms), such ...

Imagine you are training an AI to play chess. Whenever it makes a wrong move, you point out the mistake and explain the reason. In the world of deep learning, the Loss Function plays a similar role.

The insights presented in this study can act as a baseline for more advanced investigations into the utility of such loss functions in deep learning-based side-channel analysis.” Find the technical ...

The Dice loss function is widely used to train deep learning algorithms in medical segmentation tasks. However, in multi-class segmentation tasks, the Dice loss function can result in imbalanced ...