https://github.com/ivanbgd/udacity-deep-learning-nd101

My solutions to the Udacity Deep Learning Nanodegree Foundation ND101 on-line course, with some examples in C, beside Python (https://www.udacity.com/course/deep-learning-nanodegree-foundation--nd101)
https://github.com/ivanbgd/udacity-deep-learning-nd101

c deep-learning deep-neural-networks jupyter-notebook miniflow neural-networks python tensorflow udacity udacity-deep-learning udacity-nanodegree

Last synced: about 10 hours ago
JSON representation

My solutions to the Udacity Deep Learning Nanodegree Foundation ND101 on-line course, with some examples in C, beside Python (https://www.udacity.com/course/deep-learning-nanodegree-foundation--nd101)

• Host: GitHub
• URL: https://github.com/ivanbgd/udacity-deep-learning-nd101
• Owner: ivanbgd
• License: mit
• Created: 2017-09-12T14:37:18.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2018-08-03T19:16:24.000Z (over 6 years ago)
• Last Synced: 2024-12-08T17:11:48.987Z (about 2 months ago)
• Topics: c, deep-learning, deep-neural-networks, jupyter-notebook, miniflow, neural-networks, python, tensorflow, udacity, udacity-deep-learning, udacity-nanodegree
• Language: Jupyter Notebook
• Homepage:
• Size: 5.4 MB
• Stars: 1
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Udacity-Deep-Learning-ND101

These are my solutions to the Udacity Deep Learning Nanodegree Foundation ND101 on-line course.

I have written some examples in C, too, beside Python.

The C code includes my implementations of some matrix and statistics functions. For instance, there are arithmetic and comparison functions.

https://www.udacity.com/course/deep-learning-nanodegree-foundation--nd101