Difference between revisions of "Minigo"
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|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | ||
}} | }} | ||
− | [http://www.youtube.com/results?search_query= | + | [http://www.youtube.com/results?search_query=Go+AI+Machine+Learning YouTube search...] |
− | [http://www.google.com/search?q= | + | [http://www.google.com/search?q=Go+AI+Machine+Learning ...Google search] |
− | * [ | + | * [http://github.com/tensorflow/minigo Minigo] |
− | * [[ | + | * [[Google DeepMind AlphaGo Zero]] |
− | * [http:// | + | * [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.