
…ing is considered one of the biggest challenges in modern deep learning applications. Conceptually, overfitting occurs when a model generates a hypothesis that is too tailored to a specific dataset to the data making it impossible to adapt to new datasets. A useful analogy to understand overfitting is to think about it as hallucinations in the model. Es…