Difference between revisions of "Minigo"
| (7 intermediate revisions by the same user not shown) | |||
| Line 8: | Line 8: | ||
[http://www.google.com/search?q=Go+AI+Machine+Learning ...Google search] | [http://www.google.com/search?q=Go+AI+Machine+Learning ...Google search] | ||
| + | * [http://github.com/tensorflow/minigo Minigo] | ||
| + | * [[Google DeepMind AlphaGo Zero]] | ||
| + | * [http://github.com/brilee/MuGo MuGo | Brian Lee - GitHub] | ||
| − | + | Josh and Andrew explain how they used [[Containers; Docker, Kubernetes & Microservices#Kubernetes|Kubernetes]] and [[TensorFlow]] to create, in relatively few lines of code, a tabula rasa AI that can play the game of go, inspired by the [[Google DeepMind AlphaGo Zero]] algorithm published by Deepmind. They discuss GPUs, [[TensorFlow]], [[Kubeflow Pipelines]], and large-scale [[Containers; Docker, Kubernetes & Microservices#Kubernetes|Kubernetes]] Engine clusters and demo the game in action. | |
<youtube>kCk1zuowg8E</youtube> | <youtube>kCk1zuowg8E</youtube> | ||
| + | <youtube>LRqlmjL3-n8</youtube> | ||
Latest revision as of 11:05, 11 August 2019
YouTube search... ...Google search
Josh and Andrew explain how they used Kubernetes and TensorFlow to create, in relatively few lines of code, a tabula rasa AI that can play the game of go, inspired by the Google DeepMind AlphaGo Zero algorithm published by Deepmind. They discuss GPUs, TensorFlow, Kubeflow Pipelines, and large-scale Kubernetes Engine clusters and demo the game in action.
