Learn about self-supervised learning: What it is, examples and methods for computer vision. Fewer labels and smaller samples as new standard?

Easy-to-understand guide about Deep Reinforcement Learning. How it works, examples, and real-world applications of AI based decision-making.

Differences, advantages, and practical examples of supervised and unsupervised learning methods – Learn when to use which.

Complete overview of Object Detection in 2023. Introduction to the most popular Computer Vision and Deep Learning Object Detection Algorithms.

Easy to understand guide about Pattern Recognition with AI and Machine Learning. The forms, methods, and examples you need to know.

Everything you need to know about PyTorch vs. TensorFlow. The advantages, differences in performance, accuracy, and ease of use.

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