This guide provides a simple definition for deep learning that helps differentiate it from machine learning and AI along with eight practical examples of how deep learning is used today.

Deep learning represents a powerful advancement in AI and machine learning, providing the ability to automatically learn from large datasets and achieve remarkable results in a wide range of fields.

Deep learning vs. machine learning: what's the difference between the two? We provide a simplified explanation of both AI-based technologies.

What does deep learning actually mean? Find out inside PCMag's comprehensive tech and computer-related encyclopedia.

Easy to use and widely supported, Keras makes deep learning about as simple as deep learning can be ...

Deep learning aids predictions by finding patterns in chaos -- and the advanced AI branch is disrupting many sectors.

Deepfakes are simple to make. A simple overview of the artificial intelligence (AI) behind deepfakes: Generative Adversarial Networks (GANs), Encoder-decoder pairs and First-Order Motion Models.

Deep learning is a friendly facet of machine learning that lets AI sort through data and information in a manner that emulates the human brain’s neural network.

Artificial-intelligence researchers are trying to fix the flaws of neural networks.