  In recent years, the employment of deep learning methods has led to several
significant breakthroughs in artificial intelligence. Different from
traditional machine learning models, deep learning-based approaches are able to
extract features autonomously from raw data. This allows for bypassing the
feature engineering process, which is generally considered to be both
error-prone and tedious. Moreover, deep learning strategies often outperform
traditional models in terms of accuracy.
