If you have used the preload trick to use Math Kernel Library (MKL) with an early version of Anaconda, you will find that under Anaconda 4.4 MKL is limited a single thread no matter what settings you enter. The solution is to remove the LD_PRELOAD entry for MKL, log out, log back in and you should be good to go.
A salesperson of a major local computer-component retailer says that the popularity of cryptocurrency mining has drained pretty much all the local supplies of high-end graphics cards. (This is not an investment advise.) — at Mong Kok Computer Center, Hong Kong.
My deep learning paper on predicting license plate auction prices made it to Financial Times! This is actually the first paper in a series: followup papers will use the prediction model to look into various investment anomalies. Somewhere down the road there will also be a field experiment where we will provide auction participants with an app to gives them estimates in real time.
(Thanks to James Ko for sending me the article!)
MSRP US$699 (HK$5428). Good luck finding one at that price. #Geforce #1080Ti
There goes three hours of my life. Debugging.
Reading an article called “Forecasting with artificial neural networks: The state of the art”, published in…1998. The state of the art back then had 2 layers and 40 neurons. #CannotCiteSomethingThisOutdated
Texas Hold’em is a much more interesting game than Go when it comes to real-world artificial intelligence application, since many important real world issues inherently involves imperfect information. 5 days into the game and the human pros are losing badly.
Claudico battles Donger Kim, Jason Les, Bjorn Li, Doug Polk in Brains vs. AI at Rivers Casion, the first time that a computer program has played Heads-up No-limit Texas Hold’em in competition with top human players.
Source: Brains vs AI
TensorFlow up and running with CUDA 8.0. Life-saving tip: always explicitly enter your CUDA and cuDNN versions during configuration.
My first impression is TF is a bit behind Nervana Neon in terms of training speed and ease of use. Too bad the latter now belongs to Intel, which clearly wants to promote its own Pentium-based Xeon Phi over Nvidia GPU.