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NCTS 2017 Courses on High Performance Computing and Deep Learning
 
3/23, 3/30, 4/6, 4/13, 4/20, 4/27 (Thu.) 12:20-15:10, March 23 - April 27, 2017
Room 202, Astronomy-Mathematics Building, NTU

Speaker:
Ting-Li Chen (Academia Sinica)
Su-Yun Huang (Academia Sinica)
Takahiro Katagiri (Nagoya University)
Kengo Nakajima (University of Tokyo)
Weichung Wang (National Taiwan University)


Organizers:
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


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 (C) 2017 National Center for Theoretical Sciences