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papers.nips.cc | ||
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distill.pub
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| | | | | How neural networks build up their understanding of images | |
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tomaugspurger.net
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| | | | | This work is supported by Anaconda Inc. This post describes a recent improvement made to TPOT. TPOT is an automated machine learning library for Python. It does some feature engineering and hyper-parameter optimization for you. TPOT uses genetic algorithms to evaluate which models are performing well and how to choose new models to try out in the next generation. Parallelizing TPOT In TPOT-730, we made some modifications to TPOT to support distributed training. As a TPOT user, the only changes you need to make to your code are | |
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neuralnetworksanddeeplearning.com
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sookocheff.com
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| | | Here it is. My version of the S3 static site. This one is publishable through CloudFormation and uses CodeCommit and CodeBuild to regenerate and publish the site with every push to the host Git repository. Any change to the CodeCommit Git repository automatically triggers a build through CodeCommit. This build runs the Hugo static site generator on your repo and syncs the results to an S3 bucket configured for serving a static site. | ||
