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:

  • Tutorial P0, Pytorch Basic
  • Tutorial P1.1, Build_MLP with torch.nn
  • Tutorial P2.1, CNN classification with torch.nn
  • Tutorial P2.2, Image Segmentation using U-Net
  • Practical 1.2, Wordembedding, Answer
  • Practical 2.3, Image Retrieval using Metric learning, Answer

• 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:

  • Practical 2, Image Retrieval using Metric learning, Answer
  • Assignment for Few-shot learning on Omniglot, Descrption

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