Schedule
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EventDateLocationDescriptionCourse Material
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Lecture20/01/2025
Monday 09:00 - 13:00Room I_ID / AN (Building I) -
Lecture21/01/2025
Tuesday 09:00 - 13:00Room I_ID / AN (Building I)Data Representation with Tensors[S03] -
Lecture22/01/2025
Wednesday 09:00 - 13:00Room I_ID / AN (Building I)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.
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Lecture23/01/2025
Thursday 09:00 - 13:00Room I_ID / AN (Building I)Object Detection[S06] -
Lecture24/01/2025
Friday 09:00 - 13:00Room I_ID / AN (Building I)Handling scientific Experiments