MAP

This course introduces undergraduate students to the basics of neural networks (NNs) in machine learning (ML) and their applications. The main objectives are to provide students with a foundation in the mathematical and numerical principles behind neural networks and to develop their ability to apply these techniques to real-world problems, such as image classifications. Advanced topics such as, NN for differential equations, will also be covered.