Deep Learning Lab
Persone
Rauber P.
Docente titolare del corso
Schlag I.
Assistente
Descrizione
This course offers an opportunity to acquire practical experience in using TensorFlow to implement feedforward and recurrent neural networks (e.g., long short-term memory networks). Such networks currently achieve state-of-the-art results in many exciting tasks, such as object recognition, speech recognition, language translation, and learning to play games from experience. TensorFlow is an open source library developed by Google, and currently is perhaps the most popular choice among researchers and practitioners. The course will consist in practical assignments and a final course project, possibly proposed by the student.
Offerta formativa
- Master of Science in Artificial Intelligence, Corso di base, Corso, 1° anno
- Dottorato in Scienze informatiche, Corso a scelta, Laboratorio (2 ECTS)