Challenges of active learning While active learning provides many benefits, it requires specific infrastructure to ensure a smooth, repeatable process over multiple iterations and models.

DeepMind and OpenAI took advantage of this to train a recurrent neural network to generate reinforcement-learning algorithms, which tell an AI how to behave to achieve given goals.

Tech colossus, Microsoft, has released its AI software for developers everywhere, and it can even be run from a single laptop. Open-source deep learning software has the potential of opening the ...

Automated Intent Classification Using Deep Learning Learn how to build and use a model that can help you understand and predict user intent in ways that simply aren’t possible manually.

Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the climate, and stabilize drones during flight.

Learn how to effectively read and understand deep learning code with this beginner-friendly guide. Break down complex scripts and get comfortable navigating AI projects step by step.

Deep learning — which uses multilayered neural networks to elicit patterns from data — was getting really hot back then. There was already a lot of excitement about applications in image ...

How a stubborn computer scientist accidentally launched the deep learning boom "You’ve taken this idea way too far," a mentor told Prof. Fei-Fei Li.