"G. d'Annunzio"
The student must have the basic notions of calculus and linear algebra.
The educational goal is the following:
Knowledge and understanding
The course aims at giving a basic knowledge of the main type of deep neural network, i.e. feedforward networks. To this end the course will also supply the necessary notions of probability.
Ability to apply knowledge and understanding
Et the end of the course students must be able to to carry out a group project on some application that will be assigned by the teacher; every group will write a report that will discuss the methods that have been employed and the results that have been obtained. The ability to apply knowledge and understanding will also be verified by an individual written exam, in which the student will have to solve exercises and problems.
It is expected that the ability to use feedforward neural networks is used in professional contexts, for various purposes, but possibly also in public administration or in research activities.
Feedforward deep neural networks
1. Elements of probability and information theory 2.Fundamentals of machine learning 3.Feedforward deep neural networks 4. Applications
Goodfellow, I.; Bengio, Y.; Courville, A.: Deep learning, MIT Press (2016)
Lectures.
Knowledge and understanding will be verified by means of a written test and a an oral exam. The written test will include exercises and problems on all the topics of the course. The oral exam will test knowledge of the theory (definitions, statements, proofs, examples).
The final grade will be expressed on a scale from 1 to 30, and will take into account also the group project described below.
The ability to apply knowledge and understanding will be verified both by the written test described above and by a group project that will develop some application defined by the teacher. At the end of the project students will write a report that will discuss the methods they have chosen and the outcomes of the project. The report will be submitted to the teacher at least one week before the oral exam.
