Difference between revisions of "Minigo"
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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 AlphaZero 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 AlphaZero 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. | ||
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<youtube>kCk1zuowg8E</youtube> | <youtube>kCk1zuowg8E</youtube> | ||
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Revision as of 10:59, 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 AlphaZero algorithm published by Deepmind. They discuss GPUs, TensorFlow, Kubeflow Pipelines, and large-scale Kubernetes Engine clusters and demo the game in action.
