Month: August 2019
Image Classification Papers
Preparation: CNN course by Andrew Ng
Convolutional Neural Networks | Coursera
ImageNet Leaderboard (read in reverse order)
To Review Deep Learning
I will go back to work on deep learning after writing bash for 6 months. Here is my plan to pick up deep learning.
Foundation:
- Deep learning (Andrew Ng): https://www.coursera.org/specializations/deep-learning
- Book (Part 2): https://www.deeplearningbook.org/
CV or NLP:
- Convolutional Neural Networks for Visual Recognition (Spring 2017): https://www.youtube.com/playlist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv&disable_polymer=true
- CS224N: Natural Language Processing with Deep Learning | Winter 2019: https://www.youtube.com/playlist?list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z&disable_polymer=true
PyTorch and Tensorflow:
- Fast AI (PyTorch): https://www.youtube.com/playlist?list=PLfYUBJiXbdtSIJb-Qd3pw0cqCbkGeS0xn&disable_polymer=true
- Tensorflow: https://www.coursera.org/specializations/tensorflow-in-practice
Megatron-LM by Nvidia
Research on training transformer language models at scale, including BERT:
Personal VAD by Google
https://arxiv.org/abs/1908.04284
Personal VAD: Speaker-Conditioned Voice Activity Detection
Shaojin Ding, Quan Wang, Shuo-yiin Chang, Li Wan, Ignacio Lopez Moreno
Comments: To be submitted to ICASSP 2020Subjects: Audio and Speech Processing (eess.AS); Machine Learning (cs.LG); Machine Learning (stat.ML)