deploy-models-with-tensorflow-serving-and-flask
Neste projeto foi possĂvel aprender como implantar modelos do TensorFlow utilizando o TensorFlow Serving e Docker, foi criado um aplicativo Web simples com Flask, que serviu como interface para obter as previsões do modelo.
How to download and setup deploy-models-with-tensorflow-serving-and-flask
Open terminal and run command
git clone https://github.com/keikomori/deploy-models-with-tensorflow-serving-and-flask.git
git clone is used to create a copy or clone of deploy-models-with-tensorflow-serving-and-flask repositories.
You pass git clone a repository URL. it supports a few different network protocols and corresponding URL formats.
Also you may download zip file with deploy-models-with-tensorflow-serving-and-flask https://github.com/keikomori/deploy-models-with-tensorflow-serving-and-flask/archive/master.zip
Or simply clone deploy-models-with-tensorflow-serving-and-flask with SSH
[email protected]:keikomori/deploy-models-with-tensorflow-serving-and-flask.git
If you have some problems with deploy-models-with-tensorflow-serving-and-flask
You may open issue on deploy-models-with-tensorflow-serving-and-flask support forum (system) here: https://github.com/keikomori/deploy-models-with-tensorflow-serving-and-flask/issuesSimilar to deploy-models-with-tensorflow-serving-and-flask repositories
Here you may see deploy-models-with-tensorflow-serving-and-flask alternatives and analogs
django Awesome-CoreML-Models ardent laravel-model-caching Coolie acts_as_api plank vue-mc vectiler models spacy-models jsonmodels dynamic-training-bench laravel-model-cleanup sourced django-behaviors chainer-fast-neuralstyle-models NestedTypes gama hydro-serving felicity reobject tango vue-example Pytorch-Model-Zoo models osprey ImageRecognizer-Android COLLADAViewer2 Torch-Models