Schedule
-
EventDateLocationDescriptionCourse Material
-
Lecture08/01/2024
Monday 09:00 - 13:00Room A (Viale Merello) -
Lecture09/01/2024
Tuesday 09:00 - 13:00Room A (Viale Merello)Data Representation with Tensors[S03] -
Lecture10/01/2024
Wednesday 14:00 - 18:00Room A (Viale Merello)Suggested Readings:
- LeCun, Yann, et al. “Gradient-based learning applied to document recognition.” Proceedings of the IEEE 86.11 (1998): 2278-2324.
- Srivastava, Nitish, et al. “Dropout: a simple way to prevent neural networks from overfitting.” The journal of machine learning research 15.1 (2014): 1929-1958.
- Ioffe, Sergey, and Christian Szegedy. “Batch normalization: Accelerating deep network training by reducing internal covariate shift.” International conference on machine learning. pmlr, 2015.
- He, Kaiming, et al. “Deep residual learning for image recognition.” Proceedings of the IEEE conference on computer vision and pattern recognition. 2016.
-
Lecture11/01/2024
Thursday 14:00 - 18:00Room A (Viale Merello)Object Detection[S06] -
Lecture15/01/2024
Monday 09:00 - 13:00Room A (Viale Merello)Handling scientific Experiments[S07]