Difference between revisions of "Minigo"
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* [http://github.com/tensorflow/minigo Minigo] | * [http://github.com/tensorflow/minigo Minigo] | ||
* [[Google DeepMind AlphaGo Zero]] | * [[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. | 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. | ||
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.
