Teachings
-
2020, Teaching Assistant for Deep Learning (2AMM10) at TU/e, (Tutorials and Practicals )
I am responsible for grading, courses for practical, and developing the following material:
- Practical 4a.0, Build CNN for CIFAR-10, Answer
- Practical 4a.1, Pre-trained CNN for prediction, Answer
- Practical 4b.0 Preprocess Caltech101
- Practical 4b.1, Nearest Neighbor Classifier on Caltech101, Answer
- Practical 4b.2, DAE on MNIST, Answer
- Practical 4b.3, Preprocess Omniglot
- Practical 4b.4, Few-shot Learning using Siamese Network on Omniglot, Answer
- Assignment for Few-shot learning in Keras, Answer, Descrption
-
2021, Teaching Assistant for Deep Learning (2AMM10) at TU/e, 2021, (Tutorials and Practicals )
I am responsible for grading, courses for practical, and developing the following material:
-
2022, Teaching Assistant for Deep Learning (2AMM10) at TU/e, 2022, (Tutorials and Practicals )
I am responsible for grading, courses for practical, and developing the following material:
Supervision
-
Project: Automated Object Recognition of Solar Panels in Aerial Photographs.
Student: Judith te Selle
Supervisors: Lu Yin, Pechenizkiy Mykola, Renata Medeiros de Carvalho, Tim Weelinck
Student thesis: Master.
Date:14 Jul 2021
-
Project: Aspect-based Few-shot Learning.
Author: Phuong Trinh
Supervisors: Lu Yin, R. Medeiros de Carvalho, Vlado Menkovski
Student thesis: Master.
Date:17 Oct 2022