MiaoDX/ML_DL

If you can't beat them, join them. Some ML&DL stuff, mostly some lesson learnt from blogs, courses, codes and tutorials.

We need a solid understanding of the Machine learning/Deep learning stuff, at least familiar with them.

In the first year of graduate life, I attended some classes related to these, like:

• A sample back propagation implementation in Mr. Feng's class
• Use sklearn in Big data algorithms class taught by Mr. Hao.
• Some reinforcement projects on macman in Advanced AI taught by Mr. Hao.
• Some tensorflow implements of DL algorithms (faster-RCNN) in the final project in Computer Graphics taught by Ms. Wan

It's good to know how to use the libraries, however, better to have some in-depth understanding. I will try to finish some tutorials/courses/blogs and so on and make some notes here, codes are also included.

There are numerous resources out there, so the choices here are somewhat casual and it can be a long journey, good luck & have fun. :)

To make things more smooth and have a schedule, weekly process plan are listed below:

• July 23 - 29
  • Tutorial on deeplearning.net with theano