Deep Learning

Self-supervised learning transforms systems' abilities to learn from unlabeled data, enhancing efficiency and generalization.

With just a text description, AI can generate art or even photorealistic images. Explore the most powerful AI image generators.

List of the most popular AI software. We put together tools and enterprise AI platforms for businesses to adopt AI tech efficiently.

Computer vision systems in multiple fields utilize pose estimation. Pose estimation operates by finding key-points of a person or object and track the pose and

Easy-to-read summary about Face Detection technology with deep learning. Exciting use cases, techniques, and a list of datasets.

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.