By using feature inversion to visualize millions of activations from an image classification network, we create an explorable activation atlas of features the network has learned and what concepts it typically represents.
Neural MMO - A Massively Multiagent Game Environment
We’re releasing our Neural MMO - a massively multiagent game environment for reinforcement learning agents.
Introducing GPipe, an Open Source Library for Efficiently Training Large-scale Neural Network Models
Posted by Yanping Huang, Software Engineer, Google AI Deep neural networks (DNNs) have advanced many machine learning tasks, including ...
A Leap into the Future: Generative Adversarial Networks
Is December 12, 2018, a day the world changed forever? That Wednesday, a team of researchers at NVIDIA released a dazzling new artificial…
Deep Reinforcement Learning with TensorFlow 2.0 – Roman Ring – Medium
In this tutorial I will showcase the upcoming TensorFlow 2.0 features through the lense of deep reinforcement learning (DRL) by…
ONNX: Open Neural Network Exchange Format
The new open ecosystem for interchangeable AI models