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Showing posts from December, 2015

First post using stackedit

Welcome to StackEdit! Hey! I’m your first Markdown document in StackEdit 1 . Don’t delete me, I’m very helpful! I can be recovered anyway in the Utils tab of the Settings dialog. Documents StackEdit stores your documents in your browser, which means all your documents are automatically saved locally and are accessible offline! Note: StackEdit is accessible offline after the application has been loaded for the first time. Your local documents are not shared between different browsers or computers. Clearing your browser’s data may delete all your local documents! Make sure your documents are synchronized with Google Drive or Dropbox (check out the Synchronization section). Create a document The document panel is accessible using the button in the navigation bar. You can create a new document by clicking New document in the document panel. Switch to another document All your local documents are listed in the document panel. You can switch from one to anoth

Using markdown with blogspot

How to use markdown with blogspot Originally, BlogSpot does not support markdown very well. It makes its disadvantage compared with new services such as github.io. However, we still can write markdown then post it to blogspot with online tools. Markdown editor I am using http://dillinger.io/ but there are other services. Convert Markdown code to HTML code Dillinger can export Markdown code to HTML code, but we have to download a new generated HTML file. I do not like it so much, so there is a website http://daringfireball.net/projects/markdown/dingus so we can convert and get HTML code directly, then just copy and paste it to Blogspot.

Installing tensorflow on Mac OS 10.11

Tensorflow (https://www.tensorflow.org/) is the open source deep learning library from Google (http://www.wired.com/2015/11/google-open-sources-its-artificial-intelligence-engine/). Installing Tensorflow is not easy on Mac if you follow exactly the installation instruction on the homepage. I have no idea why. I have error then error while trying to install Tensorflow with pip, with virtualenv, or even with Docker. However, with Anaconda (https://www.continuum.io/downloads), it will be easy. The trick is you should download the wheel file and install it offline other than retrieving it online as suggested by Tensorflow homepage. So, with anaconda for python2 installed, I did: # create a new environment with sklearn installed, up to you # if you want a pure Python, replace scikit-learn by python conda create -n tensorflow scikit-learn # activate the new environment source activate tensorflow # download the wheel file curl https://storage.googleapis.com/tensorflo