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Raghavendra Reddy commented on hadrienj's blog post Boost your data science skills. Learn linear algebra.

"Really superb Got so much details about the algebra "

Feb 12

Raghavendra Reddy liked hadrienj's blog post Boost your data science skills. Learn linear algebra.

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Ernesto Rademaker Martins liked hadrienj's blog post Boost your data science skills. Learn linear algebra.

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Stephan O'Bryan liked hadrienj's blog post Preprocessing for deep learning: from covariance matrix to image whitening

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hadrienj commented on hadrienj's blog post Preprocessing for deep learning: from covariance matrix to image whitening

"Hi,
Thank you for your comment! Whitening is used to remove redundancy from the input and simplify the model learned for classification for instance. If nearby pixels are less correlated, the model may learn higher level features which is generally…"

Aug 31, 2018

surya prakash Sahu commented on hadrienj's blog post Preprocessing for deep learning: from covariance matrix to image whitening

"Nice and informational. What is the benefit of 'whitening'?"

Aug 31, 2018

- Short Bio
- PhD student in Cognitive Science at the École Normale Supérieure (ENS) in Paris, France. More info: https://hadrienj.github.io/about/

- My Web Site Or LinkedIn Profile
- http://https://hadrienj.github.io/

- Field of Expertise
- Data Science, Machine Learning, AI, Deep Learning, Other

- Professional Status
- Student

- Your Job Title:
- PhD student

- Interests:
- Contributing, Networking, Finding a new position

Posted on August 28, 2018 at 11:22am 2 Comments 7 Likes

You can also fork the Jupyter notebook on Github here!

The goal of this post/notebook is to go from the basics of data preprocessing to modern techniques used in deep learning. My point is that we can use code (Python/Numpy etc.) to better understand abstract mathematical notions! Thinking by…

ContinuePosted on March 28, 2018 at 1:30pm 1 Comment 19 Likes

I’d like to introduce a series of blog posts and their corresponding Python Notebooks gathering notes on the Deep Learning Book from Ian Goodfellow, Yoshua Bengio, and Aaron Courville (2016). The aim of these notebooks is to help beginners/advanced beginners to grasp linear algebra concepts underlying deep learning and machine learning. Acquiring these skills can boost your ability to understand and apply various data science algorithms. In…

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