llSourcell / How-to-Deploy-a-Tensorflow-Model-in-Production

This is the code for the "How to Deploy a Tensorflow Model in Production" by Siraj Raval on YouTube

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

How-to-Deploy-a-Tensorflow-Model-in-Production

This is the code for the "How to Deploy a Tensorflow Model in Production" by Siraj Raval on YouTube

Overview

This is the code for this video on Youtube by Siraj Raval. We're going to use the Tensorflow Serving library to deploy an inception model in production.

Dependencies

All included in the iPython notebook. You just need docker

Usage

Run the notebook by running jupyter notebook in terminal in the main directory. All the instructions are in there.

The 2 attached files -- one is the client and the other is an example of how we train and save an simple MNIST model for Tensorflow Serving.

Credits

Credits go to Google. I've merely created a wrapper to get people started.

About

This is the code for the "How to Deploy a Tensorflow Model in Production" by Siraj Raval on YouTube


Languages

Language:Python 51.1%Language:Jupyter Notebook 48.9%