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Just wrapped up the assignments on the final chapter of the #mlzoomcamp on model deployment in Kubernetes clusters. Got foundational hands-on experience with Tensorflow Serving, gRPC, Protobuf data format, docker compose, kubectl, kind and actual Kubernetes clusters on EKS.
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2 outils pour Tensorflow: Lattice et Serving
Dans cet article, je vais vous présenter brièvement 2 nouveaux outils pour Tensorflow, le framework de Deep Learning de Google. Ils ne sont pas véritablement “nouveaux”, mais arrive au stade où on peut les utiliser dans nos projets. Il s’agit de Tensorflow Lattice qui affine les données d’entrainement et Tensorflow Serving qui permet les déploiement plus facile de nouveaux modèles d’entraînement.
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