Skip to content

This is my follow-along code to the DAT236x Deep Learning Explained course by Microsoft at edx.org

Notifications You must be signed in to change notification settings

mateusrodrigues/DeepLearning-edX

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

DAT236x - Deep Learning Explained

This is my follow-along code to DAT236x at edx.org as a make my way through the course. This is built on top of the Microsoft Cognitive Toolkit (CNTK) and written in Python.

The projects are organized in folders, each referring to a lab. Each course module contains a lab by the end of it.

To open this project

  1. Download Visual Studio 2017
  2. During installation, make sure to tick the Python workload option, so that the Python tooling for Visual Studio is installed as well
  3. Follow the CNTK tutorial on how to get the Python library installed. I personally decided to go with Anaconda for Python environments, CNTK 2.1 and Python 3.5
  4. Open the DeepLearning-edX.sln file and all projects should be loaded automatically

About

This is my follow-along code to the DAT236x Deep Learning Explained course by Microsoft at edx.org

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages