Posts

TensorFlow: first book

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A brief impression after finishing the book "TensorFlow for Deep Learning - From Linear Regression to Reinforcement Learning" (by Ramsundar and Zadeh).  The book introduces the concept of tensors, primitives and architectures for deep learning, and the basics of regression, various neural networks, hyperparameter optimization, and reinforcement learning. The art work in the figures is beautiful (something that convinced me to buy the book). The TensorFlow code examples can be downloaded from the book's website, making it easy to follow along with the discussion the book. The book falls a bit short on detailed explanation, however. I found that many times when the discussion in the book was about to get interesting, it referred to other work for details instead. Several architectures were merely "explained" with a figure, no accompanying details in the text. In addition, although I realize how hard it is to avoid errors in a book, the given linear r

TensorFlow for Deep Learning

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As a CS student, a long time ago in a country far away, I was very interested in AI (Artificial Intelligence), and not just for chess playing programs. In fact, if it weren't for my professor convincing me to continue with compilers and high-performance computing, I may have ended up specializing in the field of AI. Perhaps lucky for me, since AI has gone through many rounds of boom-and-bust. Nowadays, however, machine learning in general, and deep learning in particular really seem to have taken AI in a very promising new direction. Since I feel machine learning will become an important, if not mandatory skill for computer scientists, I decided to buy a few books on TensorFlow and familiarize myself with the new paradigm. For starters, I bought the three O'Reilly books below (other recommendations are welcome) and plan to do a few brief follow-up posts on this topic.

Connecting with the DGT Board

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After all the fun I had connecting Chess for Android with the Millennium  over Bluetooth, I was curious if I could provide similar support for the DGT electronic chess boards. Some of these have Bluetooth capabilities, most use USB connections, and some older models, like the one I have, still use the RS-232 connector. To my pleasant surprise, by combining the original serial cable of DGT with a USB-to-serial cable and a female-USB-to-USB-C cable, I was able to get an actually working connection between my DGT board and my tablet or phone. Next was implementing support in Chess for Android. Luckily, DGT kindly shared the protocol documentation with me, and after a fun weekend of hacking, Chess for Android now proudly supports DGT electronic chess boards as well.

Lots of New Features for Chess for Android.

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Recently I have been very active adding new features to Chess for Android again. I have added support to connect to the Millennium ChessGenuis Exclusive electronic chessboard, added a new piece set (thanks Bryan Whitby), added various engine related features requested by users, and switched to the much better model where users can enable (and thus disable) permissions just for the features they like. Now, I also added optional piece animation and algebraic notation on the board. Hopefully this makes watching ongoing tournaments more smooth, as illustrated below for a match between Komodo and DiscoCheck. Keep an eye on Google Play for updates!

Android Phone Screens under a Microscope

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Did you ever wonder what an Android phone screen looks like under a microscope? So did I. So at the start of this weekend, I got the microscope out and took some photos, collected in one picture below. The results are amazing. What looks white to the naked eye, is really a large field of RGB (red-green-blue) elements under magnification. All colors are, of course, obtained by adjusting the brightness of each RGB element appropriately, as illustrated in this picture too.