The List：

1. I am Not Madame Bovary / 我不是潘金莲 (2016)
2. Mr. Donkey  / 驴得水 (2016)
3. Mr. Six / 老炮儿 (2015)
4. Mountains May Depart / 山河故人 (2015)
5. Gone with the Bullets / 一步之遥 (2014)
6. A Touch of Sin / 天注定 (2013)
7. Back to 1942 / 一九四二 (2012)
8. White Deer Plain / 白鹿原 (2012)
9. Let the Bullets Fly / 让子弹飞 (2010)
10. Still Life / 三峡好人 (2006)
11. Cell Phone / 手机 (2003)
12. Devils on the Doorstep / 鬼子来了(2000)
13. To Live / 活着 (1994)
14. Farewell My Concubine / 霸王别姬 (1993)

Continue reading “14 Movies to Meet the Magic Realism of Incredible China”

Continue reading “Note about Markov Chain Monte Carlo (MCMC) and Restricted Boltzmann Machine (RBM)”

“These violent delights have violent ends

And in their triumph die, like fire and powder,

Which, as they kiss, consume.”

~William Shakespeare

Last week, I finished watching the amazing  TV series Westworld. As a Sci-Fi fan, I kindly tired of the repeated laser  gun and space ships,  this TV series is really an open-minded setup with a solid storyline of Artificial Intelligence (Hosts) and Human (Makers/Vistors).

Imagine that technology was so advanced, you could step into a wholly immersive virtual reality world that was very nearly as real as our own. A theme park, where you can live out your fantasies. No awkward headsets or VR to wear. No fuzzy graphics, keyboard, and mice. Because it’s all real—for the most part.

You can buy drinks at the local saloon, or pay for sex with one of the AI prostitutes at the bar. You can get in gun fights with outlaws, or save the town from murderous highwaymen. Or, if you really want to, you can go to a farm house, kill the elderly parents there and rape their daughter. This is where the stories are written, tinkered with, and the microcosm of Westworld manipulated for the entertainment of its guests.

Continue reading “God in the Machine: Westworld of HBO 2016”

Dear friends,  I’m sharing this great news that Google opens Embedding Projector for the world. Now everyone could enjoy the convenient approach to visualize high dimensional data on the web browser.

Based on my personal programming experience, t-SNE is a great method for high-dimensional data visualization, better than PCA on some data sets like MNIST.

You can download the Matlab Toolbox for Dimensionality Reduction; or download the t-SNE method for different platforms: t-SNE codes.

Moreover, check the following papers if you want to learn more  details about dimensionality reduction.

• L.J.P. van der Maaten and G.E. Hinton. Visualizing High-Dimensional Data Using t-SNE. Journal of Machine Learning Research 9(Nov):2579-2605, 2008. PDF [Supplemental material] [Talk]

• L.J.P. van der Maaten, E.O. Postma, and H.J. van den Herik. Dimensionality Reduction: A Comparative Review. Tilburg University Technical Report, TiCC-TR 2009-005, 2009. PDF

Here are the links for more information:

• The Original Blog of Google Research: https://research.googleblog.com/2016/12/open-sourcing-embedding-projector-tool.htm
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•  Embedding Projector: http://projector.tensorflow.org/ (Note: when running MNIST, it may slow down your computer, be careful to this).
• Related Technique of t-SNE: http://distill.pub/2016/misread-tsne/

Continue reading “Google open sources Embedding Projector to make high-dimensional data more manageable”

Just sharing my sources of Deep learning, if anyone finds this post helpful, please share it. The content will be updated with the new techniques and information.

Continue reading “Open Courses, Free Softwares and Frameworks of Deep Learning”