Deep Learning

Learn about image segmentation with deep learning and the most important datasets. Find the most popular applications of image segmentation.

Face blur methods support privacy-preserving deep learning. Face blurring has little impact on the accuracy of vision recognition models.

Federated learning is used for distributed training of machine learning algorithms on multiple edge devices without exchanging training data.

Deep learning trains computers to learn by example. Learn about the three most popular and progressive applications of deep learning.

An easy-to-understand introduction to the basics of Semi-supervised learning. What self-training on data is and how it works.

Overview of the top deep learning frameworks: Tensorflow, Keras, PyTorch, MxNet, Chainer, etc. Speed up the production of deep learning models.

PyTorchVideo is a new efficient, flexible, and modular deep learning library for video understanding to build various applications.

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.