R202, Astronomy-Mathematics Building, NTU
Speaker(s):
Ting-Li Chen (Academia Sinica)
Su-Yun Huang (Academia Sinica)
Takahiro Katagiri (Nagoya University)
Kengo Nakajima (University of Tokyo)
Weichung Wang (National Taiwan University)
Organizer(s):
Weichung Wang (National Taiwan University)
Instructor
Takahiro Katagiri (Nagoya University)
Kengo Nakajima (The University of Tokyo)
授課教師:王偉仲 (台大數學系)、陳素雲 (中研院統計所)、陳定立 (中研院統計所)
時間地點
A. 高效能計算 (英文授課)
2017/2/21 (二), 2/22 (三), 2/23 (四), 2/24 (五) 9:10-12:00, 13:10-17:00 @台大天文數學館 301教室
授課教師：Kengo Nakajima (The University of Tokyo)，Takahiro Katagiri (Nagoya University)
B. 深度學習 2017/3/23, 3/30, 4/6, 4/13, 4/20, 4/27 (四) 12:20-15:10 @台大天文數學館 202教室
授課教師：王偉仲 (台大數學系)、陳素雲 (中研院統計所)、陳定立 (中研院統計所)
C. NCTS-NVIDIA Workshop on GPU for Deep Learning 2017/4/22 (六) 10:00-12:00, 13:00-17:00 @台大天文數學館 202教室
D. 學期計畫發表 2017/6/20 (二) 15:00-18:00 @台大天文數學館 202教室
上課教材
[1] 教師自編講義
[2] High Performance Scientific Computing by Randall J. LeVeque (Coursera edition)
[3] Introduction to Parallel Programming: Using CUDA to Harness the Power of GPUs by David Luebke, John Owens, Mike Roberts, Cheng-Han Lee (Udacity edition)
[4] Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville (2016), http://www.deeplearningbook.org/ [5] Neural Networks and Deep Learning by Michael Nielsen (2016), http://neuralnetworksanddeeplearning.com/
[6] Keras: Deep Learning library for Theano and TensorFlow, https://keras.io/
Poster: events_3_1011706035722125492.pdf
