Month: May 2018

Essence of Linear Algebra – 3Blue1Brown

Principal Component Analysis Pooling in Tensorflow

GIF from this website The idea is simple, Max/Average pooling operation in convolution neural networks are used to reduce the dimensionality of the input. And while more sophisticated pooling operation was introduced like Max-Avg (Mix) Pooling operation, I was wondering if

My Take on 30 Questions to test a data scientist on NLP — Part 2

GIF from this website Shivam Bansal, is a data scientist with exhaustive experience in Natural Language Processing and Machine Learning. And he have an amazing blog post about Natural language processing. So if anyone is interested please check his work out,

Computer Vision by Andrew Ng — 11 Lessons Learned

Created in week 4 of the course. Combined Ng’s face with the style of Rain Princess by Leonid Afremov. I recently completed Andrew Ng’s computer vision course on Coursera. Ng does an excellent job at explaining many of the complex ideas

Good github Repos

Akshay Bahadur – Computer Vision DIYs Jae Duk Seo – Lot of content

DIY Deep Learning Projects

Inspired by the great work of Akshay Bahadur in this article you will see some projects applying Computer Vision and Deep Learning, with implementations and details so you can reproduce them on your computer. Akshay Bahadur is one of the

Two months exploring deep learning and computer vision – Leonard Bogdonoff

I’ve been reading/note taking is using an iPad Pro and LiquidText I decided to develop familiarity with computer vision and machine learning techniques. As a web developer, I found this growing sphere exciting, but did not have any contextual experience

Back to Basics – Deriving Back Propagation on simple RNN/LSTM

By Jae Duk Seo Gif from this website Aidan Gomez did an amazing job explaining in details of how back-propagation LSTM works in general. And I did mine as well on this post. However, my friend Abe Kang had one question

Basic Data Cleaning/Engineering Session – Twitter Sentiment Data

Gif from this website So this post is just for me to practice some basic data cleaning/engineering operations and I hope this post might be able to help other people. Please note that this post is for my future self to

My Take on 30 Questions to test a data scientist on NLP — Part 1

GIF from this website Shivam Bansal, is a data scientist with exhaustive experience in Natural Language Processing and Machine Learning. And he have an amazing blog post about Natural language processing. So if anyone is interested please check his work out,

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