Andrew Ng shares his thoughts on where the biggest opportunities in AI may lie.
The quest to evolve neural networks through evolutionary algorithms.
Using advanced neural networks to tackle challenging natural language tasks.
Learn how to use IBM Watson's APIs and natural language understanding to extract information about people and companies from news articles.
A tutorial on how to use machine learning to build recommender systems.
DIY with Amazon Echo and Raspberry PI: Recognize thousands of people at your door every month, for pennies.
What you need know before committing to AI.
Watching the appeal and applications of machine intelligence expand.
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.