ch0ic3/free-programming-books
1
0
Fork 0
mirror of https://github.com/EbookFoundation/free-programming-books.git synced 2024-12-24 04:15:28 +00:00
Code Issues Actions Packages Projects Releases Wiki Activity

Adding Practical Deep learning Course (#2573)

Browse Source 
* Adding Practical Deep learning Course

* Deep learning course by Harvard

* Adding Deep learning course

* Linting

* Intro to Algorithms by Charles Leiserson - Writer of Introduction to Algorithms
This commit is contained in:
Himanshu 2017-10-11 19:12:37 +05:30 committed by eshellman
parent d565f340db
commit f7a1ba1228
1 changed files with 2 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
free-courses-en.md
View File

@ -47,6 +47,7 @@
### Algorithms & Data Structures ### Algorithms & Data Structures
* [Berkeley University CS 61B: Data Structures](http://datastructur.es/sp16/) * [Berkeley University CS 61B: Data Structures](http://datastructur.es/sp16/)
* [Introduction to Algorithms (SMA 5503)](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-introduction-to-algorithms-sma-5503-fall-2005) - Charles Leiserson
* [Stanford University Algorithms: Design and Analysis, Part 1](http://online.stanford.edu/course/algorithms-design-and-analysis-part-1) * [Stanford University Algorithms: Design and Analysis, Part 1](http://online.stanford.edu/course/algorithms-design-and-analysis-part-1)
* [Stanford University Algorithms:Algorithms: Design and Analysis, Part 2](http://online.stanford.edu/course/algorithms-design-and-analysis-part-2) * [Stanford University Algorithms:Algorithms: Design and Analysis, Part 2](http://online.stanford.edu/course/algorithms-design-and-analysis-part-2)
@ -130,6 +131,7 @@
* [Convolutional Neural Networks for Visual Recognition](http://cs231n.github.io) * [Convolutional Neural Networks for Visual Recognition](http://cs231n.github.io)
* [Deep Learning for Natural Language Processing](http://cs224d.stanford.edu) * [Deep Learning for Natural Language Processing](http://cs224d.stanford.edu)
* [Practical Deep Learning For Coders taught](http://www.fast.ai) - Jeremy Howard
* [Self-Paced Courses for Deep Learning ](https://developer.nvidia.com/deep-learning-courses) * [Self-Paced Courses for Deep Learning ](https://developer.nvidia.com/deep-learning-courses)
* [Unsupervised Feature Learning and Deep Learning](http://deeplearning.stanford.edu/tutorial) * [Unsupervised Feature Learning and Deep Learning](http://deeplearning.stanford.edu/tutorial)
* [What is Deep Learning](https://www.udacity.com/course/deep-learning--ud730) * [What is Deep Learning](https://www.udacity.com/course/deep-learning--ud730)