Let's learn about some key math concepts behind deep learning shall we? We'll build a 3 layer neural network and dive into some key concepts that makes deep learning give us such incredible results.
Coding challenge for this video:
https://github.com/llSourcell/how_to_...
Jovian's Winning Code:
https://github.com/jovianlin/siraj-in...
Vishal's Runner up Code:
https://github.com/erilyth/DeepLearni...
Linear Algebra cheatsheet:
http://www.souravsengupta.com/cds2016...
Calculus cheatsheet:
http://tutorial.math.lamar.edu/pdf/Ca...
Statistics cheatsheet:
http://web.mit.edu/~csvoss/Public/usa...
And if you have never had experience with any of these 3 and want to learn from absolute scratch, I'd recommend the respective KhanAcademy courses:
https://www.khanacademy.org/math
More Learning Resources:
https://people.ucsc.edu/~praman1/stat...
http://www.vision.jhu.edu/tutorials/I...
http://datascience.ibm.com/blog/the-m...
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And Part I of this book is so dope, seriously:
http://www.deeplearningbook.org/
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java sdk How to Do Mathematics Easily - Intro to Deep Learning #4 | |
| 4,222 Likes | 4,222 Dislikes |
| 196,083 views views | 694K followers |
| Tom Anderson Education | Upload TimePublished on 3 Feb 2017 |
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