The K-nearest neighbors (KNNs) classifier or simply Nearest Neighbor Classifier is a kind of supervised machine learning algorithms which operates based on spatial distance measurements. In this post, we investigate the theory behind it.
In this tutorial, we investigate the NVIDIA GPU Acceleration mechanism to post-process a video. Although terminal execution is pretty easy and straightforward, for educational purposes, the pure Pythonic approach has been chosen.
The purpose of this post is to introduce a shortcut to developers and researcher for finding useful resources about Deep Learning for Natural Language Processing. Please refer to the associated GitHub project and documentation for further details.
In this tutorial, we aim to explain how to install OpenCV3 in Anaconda virtual environment. This virtual environment installation helps to avoid possible conflicts between packages between different projects and moreover enrich the user with the user-friendly environment of conda.
