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  
 
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[http://www.youtube.com/results?search_query=Container+Machine+Learning+Docker+Microservices+Kubernetes YouTube search...]
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[http://www.youtube.com/results?search_query=Go+AI+Machine+Learning YouTube search...]
[http://www.google.com/search?q=Container+Machine+Learning+Docker+Microservices+Kubernetes ...Google search]
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[http://www.google.com/search?q=Go+AI+Machine+Learning ...Google search]
  
* [[Architectures]]
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* [http://github.com/tensorflow/minigo Minigo]
* [[Kubeflow Pipelines]]
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* [[Google DeepMind AlphaGo Zero]]
* [http://www.fullstackpython.com/containers.html Containers | Full Stack Python]
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* [http://github.com/brilee/MuGo MuGo | Brian Lee - GitHub]
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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 [[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>
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<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.