- SLAM
- 國外教學課程 https://www.youtube.com/watch?v=U6vr3iNrwRA&list=PLgnQpQtFTOGQrZ4O5QzbIHgl3b1JHimN_&index=1
- Kalman Filter https://www.kalmanfilter.net/default.aspx (This website shows a clear demonstration of the Kalman filter)
- VO (https://www.youtube.com/watch?v=N451VeA8XRA)
- 英文撰寫:
- Deep Learning
- Basic (台大李宏毅教授教學影片)
- LSTM Practice
- https://github.com/omerbsezer/LSTM_RNN_Tutorials_with_Demo (Three Samples)
- LSTM for Predictive Maintenance https://github.com/mapr-demos/predictive-maintenance/blob/master/notebooks/jupyter/LSTM%20For%20Predictive%20Maintenance-ian01.ipynb
- BERT(Part-1) https://towardsdatascience.com/deconstructing-bert-distilling-6-patterns-from-100-million-parameters-b49113672f77
- BERT(Part-2)https://towardsdatascience.com/deconstructing-bert-part-2-visualizing-the-inner-workings-of-attention-60a16d86b5c1
- BERT, ELMo https://jalammar.github.io/illustrated-bert/
- ViLBert https://www.youtube.com/watch?v=dd7nE4nbxN0
- 1 by 1 Convolutional Layer
- Fully Convolutional Network (FCN)
- https://hackmd.io/@tarostudent99/H1m_-GI4u
- https://www.jeremyjordan.me/semantic-segmentation/
- https://theaisummer.com/receptive-field/ (Understanding the receptive field of deep convolutional networks)
- https://www.youtube.com/watch?v=Wj6arJP5b5Q (Video in Youtube)
- TRansformer
- Referring Segmentation https://github.com/JerryX1110/awesome-rvos, https://paperswithcode.com/sota/referring-expression-segmentation-on-a2d
- Memory Management and Using Multiple GPUs https://blog.paperspace.com/pytorch-memory-multi-gpu-debugging/
- Transfer Learning https://www.youtube.com/watch?v=qD6iD4TFsdQ&t=59s
- Meta Learning https://www.youtube.com/watch?v=xoastiYx9JU&list=PLJV_el3uVTsMhtt7_Y6sgTHGHp1Vb2P2J&index=39
- ROS2 & Gazebo
- https://book.guyuehome.com
- URDF Viewer Example
- Intelligent Robotics: