The course aims to introduce the paradigms to neural networks and deep learning, including the basics of recurrent neural networks and models for complex data, model design and validation, and application to health problems and case studies

 The assessment of knowledge will be the subject of the written and project exam evaluation.

The student who completes the course successfully will be able to Identify problems facing healthcare providers that machine learning can solve and analyze how AI affects patient care safety, quality, and research.

The student will have to solve a deep learning problem during a practical test.

The student will acquire a method to deal with deep learning problems and to select the most effective solution to be adopted

During the lab sessions, the accuracy and precision of the activities carried out will be evaluated