Deep Learning

Explore the most popular deep learning software tools & discover how businesses leverage these solutions to realize AI strategies effectively.

Artificial Neural Networks are an important part of machine learning. This article explains the basic concepts and examples.

What is Deep Learning? In this article you will learn more about what deep learning is and why it's valuable to businesses across industries.

Person re-identification uses Deep Learning to retrieve a person of interest across multiple cameras. An easy-to-read overview.

Jupyter Notebook is a popular open-source platform for data visualization, data cleaning and transformation and machine learning (ML).

Easy to understand guide, explaining basic concepts of Mask R-CNN and how this convolutional neural network works.

Learn about common machine learning data preprocessing techniques in Python and how you implement them on your own.

Learn about the major difference between a traditional Artificial Neural Network (ANN) and Convolutional Neural Networks (CNN).

YOLOv3 is the third iteration in the "You Only Look Once" series. Explore the technology behind the open-source computer vision algorithm.

Machine learning operations, also known as MLOps, is a set of practices to deploy and maintain machine learning (ML) models in production.

VGG is a classical convolutional neural network architecture. Read how VGG Models achieve state-of-the-art performance in image recognition.

What you need to know about YOLOR, the latest state-of-the-art object detection model. Performance comparison to YOLO models.