In the previous chapter, we learned various strategies to guide AI models 'down the mountain' (optimization algorithms), such as SGD and Adam. The core of these strategies relies on a key piece of ...

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.

Conceived by researchers in Canada, the novel method combines image processing and deep learning techniques to locate the areas of the solar panels covered with snow. It reportedly performed better ...