Opportunities and challenges AI will face in the coming year
Experts weigh in on what we can expect from AI in 2018.
Latest from O’Reilly
Insights, practical guidance, and announcements from O'Reilly
How a RESTful API represents resources
Formats, linking, and versioning are important in well-formed RESTful APIs.
Reinforcement learning with TensorFlow
Solving problems with gradient ascent, and training an agent in Doom.
How a RESTful API server reacts to requests
Learn how to properly design RESTful APIs communication with clients, accounting for request structure, authentication, and caching.
Sam Newman on building microservices
The O’Reilly Programming Podcast: How to effectively make the transition from monoliths to microservices.
How to design a RESTful API architecture from a human-language spec
A process to build RESTful APIs that solve users’ needs with simplicity, reliability, and performance.
An applied introduction to generative adversarial networks
GANs, one of the biggest breakthroughs in unsupervised learning in recent years, will bring us one step closer to general artificial intelligence.
Distributed TensorFlow
Reduce both experimentation time and training time for neural networks by using many GPU servers.
Apache MXNet in the Wolfram Language
A glimpse behind the scenes of a high-level deep learning framework.
Stupid link tricks
Learn how to manipulate smartphone behavior with common hyperlinks.
GPU-accelerated TensorFlow on Kubernetes
A unified methodology for scheduling workflows, managing data, and offloading to GPUs.
Wendy Wise on developing for virtual reality and augmented reality
The O’Reilly Programming Podcast: The impact of ARKit on developers and consumers.