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106062525 hw0 #24

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23 changes: 22 additions & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -5,4 +5,25 @@ To avoid writing the same person, please report the person's name in
https://docs.google.com/spreadsheets/d/153XruMO7DPONzBTkxh8ZoYSto1E_2zO021vs0prWZ_Q/edit?usp=sharing
First come first serve!
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Write here

我要介紹的是Alex Krizhevsky 。
2012年,Alex Krizhevsky用一個Deep Learning model贏得了ILSVRC 2012的冠軍,他把分類誤差記錄從 26% 降到了 15%。這個Deep Learning model就是AlexNet,它證明瞭CNN在complex model下的有效性,GPU的實現使得training在可接受的時間範圍內得到結果。
2013 年,Google收購了他們的初創公司 DNNresearch, Alex Krizhevsky 加入了 Google,現在仍然在Google工作。

他的主頁:http://www.cs.toronto.edu/~kriz/


Papers:

2012 Krizhevsky, A., Sutskever, I. and Hinton, G. E.
ImageNet Classification with Deep Convolutional Neural Networks
2011 Hinton, G. E., Krizhevsky, A. and Wang, S.
Transforming Auto-encoders
2011 Krizhevsky, A. and Hinton, G.E.
Using Very Deep Autoencoders for Content-Based Image Retrieval
2010 Krizhevsky, A.
Convolutional Deep Belief Networks on CIFAR-10
2010 Ranzato, M., Krizhevsky, A. and Hinton, G. E.
Factored 3-way restricted Boltzmann machines for modeling natural images