Deep Learning

Face recognition technologies greatly advanced with deep learning-based methods. Read an overview about deep face recognition technology, its applications, and challenges.

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.

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

Object tracking in deep learning for single and multiple object tracking. The most popular algorithms and tools to use in 2023.

We listed the best and most widely used Deep Learning Software and frameworks today. Everything you need to know.

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

Adversarial machine learning is a growing threat in AI. Various adversarial attacks are used against machine learning systems.