Real-time object detection, which uses neural networks and deep learning to rapidly identify and tag objects of interest in a video feed, is a handy feature with great hacker potential. Happily, it… ...

In this post, I will briefly review the deep learning architectures that help computers detect objects. Convolutional neural networks One of the key components of most deep learning–based ...

What is CNN in Deep Learning? In this video, we understand what is CNN in Deep Learning and why do we need it. CNN (or ...

Convolutional neural networks (CNNs) are a class of deep neural networks commonly used in computer vision tasks such as image and video recognition, object detection and image segmentation.

As the number of convolutional layers connected in series increases, so does the level of detail that can be recognized. The process starts with simple object properties, such as edges or points, ...

Object-detection performance is impacted by these configurations, but performance gains continue to be made with more efficient neural networks and new node generation vision-processor hardware.

The "Hello World" of image classification is a convolutional neural network (CNN) applied to the MNIST digits dataset. A good way to see where this article is headed is to take a look at the ...

A Convolutional Neural Network (CNN) is a form of artificial intelligence that plays a key role in the AI ecosytem due to its ability to analyze and understand visual data. The need to decipher ...