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.

Deep learning models have shown great potential in predicting and engineering functional enzymes and proteins. Does this prowess extend to other fields of biology as well? Contrary to expectations, a ...