tf serving tutorial | tensorflow serving tutorial | Deep Learning Tutorial 48 (Tensorflow, Python)

tf serving tutorial | tensorflow serving tutorial | Deep Learning Tutorial 48 (Tensorflow, Python)

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tf serving tutorial | tensorflow serving tutorial | Deep Learning Tutorial 48 (Tensorflow, Python)
Are you using flask or Fast API to serve your machine learning models? tf serving is a tool that allows you to bring up a model server with single command. It also allows to do model version management, loading of models dynamically. It supports features such as version labels, configurable version policy etc. In this video, I will explain you everything in a very easy language. Code: https://github.com/codebasics/deep-learning-keras-tf-tutorial/tree/master/48_tf_serving ⭐️ Timestamps ⭐️ 00:00 Introduction 00:24 What problem tf serving solves? 04:44 tf serving installation 09:23 tf serving using model_base_path 14:05 serve different versions using model config file 15:35 version labels Deep learning playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO Machine learning playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw   🔖Hashtags🔖 #tfservingexample #tfservingdockerfile #tfservingvsflask #tfservingmodel #tfserving #tfservingdeeplearning #tfservingmodeldeeplearning #deeplearningtfserving #deeplearningtfservingmodel #tensorflowservingtutorial Do you want to learn technology from me? Check https://codebasics.io/ for my affordable video courses. 🌎 Website: https://www.codebasics.io/ 🎥 Codebasics Hindi channel: https://www.youtube.com/channel/UCTmFBhuhMibVoSfYom1uXEg #️⃣ Social Media #️⃣ 🔗 Discord: https://discord.gg/r42Kbuk 📸 Instagram: https://www.instagram.com/codebasicshub/ 🔊 Facebook: https://www.facebook.com/codebasicshub 📱 Twitter: https://twitter.com/codebasicshub 📝 Linkedin (Personal): https://www.linkedin.com/in/dhavalsays/ 📝 Linkedin (Codebasics): https://www.linkedin.com/company/codebasics/ ❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.