Compiling Tensorflow with Intel MKL support for Mac¶
The simplest and fastest way to get Intel MKL support in tensorflow is by using Intel Distribution for Python with the conda package manager.
By using the
intelpython3_full (providing Python 3.6.3 at the moment), you get
scipy MKL-accelerated libraries out of the box. Unfortunately, there is not an easy way to install Tensorflow compiled with MKL support on Mac OS X
This post is based on (Gan).
Data clustering is a process of assigning a set of records into subsets, called clusters, such that records in the same cluster are similar and records in different clusters are quite distinct.
A typical clustering process involves the following five steps: