Deep learning, a subfield of machine lLearning, has recently advanced the state-of-the-art learning from images and become the standard approach for computer vision tasks. We will present a case study ...

Machine learning and deep learning are both core technologies of artificial intelligence. Yet there are key differences between them. Written by eWEEK content and product recommendations are ...

Image classification – For example, facial recognition in photographs or item identification in images for an e-commerce website are tasks that Deep Learning algorithms are employed for.

For the Machine Learning system, before the image detection can happen, a human programmer needs to define the characteristics or features of a basketball (relative size, orange color, etc.).

But with deep learning, data isn’t provided for the program to use. Instead, it scans all pixels within an image to discover edges that can be used to distinguish between a boy and a girl.

Some of the most common applications of machine learning in computer vision include image classification, object detection, and segmentation. Image classification determines whether a certain type ...

Another prime area for deep learning is image classification, which includes image classification with localization, object detection, object segmentation, image style transfer, image colorization ...