物聯網今年深度學習很紅，
底下提供一些學習資源，
有興趣的別忘學習𡂿！
＃人工智慧
這學期開的 Large-Scale Machine Learning (http://shwu-ml.appspot.com/) 終於告一段落了。許多學生問我接下來要怎麼自學 AI 與 Deep Learning ?
除了推薦 Hsuan-Tien Lin 老師 (https://www.youtube.com/playlist…) 與 李宏毅 老師(http://speech.ee.ntu.edu.tw/~tlkagk/courses_ML16.html) 開的課程以外，這裡也推薦 2016 年底在一場在 Stanford 舉辦的 Deep Learning School (http://www.bayareadlschool.org ) 所拍攝的系列演講:
1. Foundations of Deep Learning (Hugo Larochelle, Twitter) - https://youtu.be/zij_FTbJHsk
2. Deep Learning for Computer Vision (Andrej Karpathy, OpenAI) - https://youtu.be/u6aEYuemt0M
3. Deep Learning for Natural Language Processing (Richard Socher, Salesforce) - https://youtu.be/oGk1v1jQITw
4. TensorFlow Tutorial (Sherry Moore, Google Brain) - https://youtu.be/Ejec3ID_h0w
5. Foundations of Unsupervised Deep Learning (Ruslan Salakhutdinov, CMU) - https://youtu.be/rK6bchqeaN8
6. Nuts and Bolts of Applying Deep Learning (Andrew Ng) - https://youtu.be/F1ka6a13S9I
7. Deep Reinforcement Learning (John Schulman, OpenAI) - https://youtu.be/PtAIh9KSnjo
8. Theano Tutorial (Pascal Lamblin, MILA) - https://youtu.be/OU8I1oJ9HhI
9. Deep Learning for Speech Recognition (Adam Coates, Baidu) - https://youtu.be/g-sndkf7mCs
10. Torch Tutorial (Alex Wiltschko, Twitter) - https://youtu.be/L1sHcj3qDNc
11. Sequence to Sequence Deep Learning (Quoc Le, Google) - https://youtu.be/G5RY_SUJih4
12. Foundations and Challenges of Deep Learning (Yoshua Bengio) - https://youtu.be/11rsu_WwZTc
還有 Ian Goodfellow 關於 GAN 的演講: https://www.youtube.com/watch?v=HN9NRhm9waY
順帶一提，我們的 Large-Scale Machine Learning (http://shwu-ml.appspot.com/) 課程網頁也會持續更新，陸續將最後幾次課程錄影與 Python code labs 公布，敬請期待。也謝謝同學們的建議與支持。
