This article covers the top 5 data science and machine learning related GitHub repositories and Reddit discussions from February 2019.
In this article, we will understand what image segmentation is and then use Python to build our first semantic segmentation model!
It’s a Record-Breaking Crowd! A Must-Read Tutorial to Build your First Crowd Counting Model using Deep Learning
Crowd counting has been an inexact science for decades. Build your first crowd counting algorithm with an impressive accuracy using Deep Learning
Machine translation is one of the biggest application of NLP. It’s the core system behind Google Translate. Learn how to implement it in Python here.
One of the fundamental concepts of deep learning is recurrent neural networks. Learn how to build and code one from scratch in Python here!
This article is inspired by Deeplearning.ai course where we learn to solve sequence modeling problems and build attention based models.
Get Started with PyTorch – Learn How to Build Quick & Accurate Neural Networks (with 4 Case Studies!)
Learn what PyTorch is, how it works, and then get your hands dirty with 4 case studies. You’ll become quite nifty with PyTorch by the end of the article!
Learn how to build your very first image classification model in Python in just 10 minutes! We’ll do this using a really cool case study.
Interested in learning deep learning but don’t know where to start? We have put together a REALLY comprehensive learning path to get you started in 2019!
This learning path is aimed toward those people who want to become a data scientist in 2019, and includes resources like courses, guides and much more!