A deep dive into model interpretation as a theoretical concept and a high-level overview of Skater.
The AI Conference in NY will feature tutorials, conference sessions, and executive briefings to help business leaders understand and plan for AI technologies.
Why we're taking the AI Conference to Beijing.
How CapsNets can overcome some shortcomings of CNNs, including requiring less training data, preserving image details, and handling ambiguity.
The O’Reilly Data Show Podcast: Mark Hammond on applications of reinforcement learning to manufacturing and industrial automation.
Using machine learning to understand and leverage text.
Machine learning opens the door for the use of training rather than programming in game development.
We need a new model for how AI systems and humans interact.
Take this live online training with Amir Shevat from Slack.
A demonstration of basic reinforcement learning problems.
Step-by-step instruction on training your own neural network.
Adventures in deep learning, cheap hardware, and object recognition.
How to build a class of RL agents using a TensorFlow notebook.
Learn how Facebook and other trailblazers use AI technologies to recognize human features.