This article delves into 5 popular deep learning frameworks, their applications and how they compare against each other. A must-read for everyone!
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.
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!
A Practical Implementation of the Faster R-CNN Algorithm for Object Detection (Part 2 – with Python codes)
Introduction Which algorithm do you use for object detection tasks? I have tried out quite a few of them in my quest to build …
We’ve seen plenty of image classification examples, but what about videos? In this article, we will show you how to use deep learning with video data.
Deep learning is coming up big in the industry these days. This article lists down what you need to know and learn, in a tidy and graphical format!
Studio.ml is an open source framework to simplify and accelerate model development. It is designed to help ML practioners speed up their experiments.
Auto-Keras is an open source library built for doing automated machine learning based on the popular Keras package. It could be a game changer for AutoML!
Part 1 of this series looks at state-of-the-art pretrained models available for the field of computer vision, and how you can get started with them.
The rstudio::conf 2018 was held in San Diego two weeks ago. Most of the slides and materials presented have now been shared by the …