Production-Level-Deep-Learning

# :bulb: A Guide to Production Level Deep Learning :clapper: :scroll:  :ferry:
🇨🇳 Translation in [Chinese](https://github.com/alirezadir/Production-Level-Deep-Learning/blob/master/other-languages/Chinese(Simplified).md)

### :label: NEW: [Machine Learning Interviews](https://github.com/alirezadir/Machine-Learning-Interviews)

:label: Note: This repo is under continous development, and all feedback and contribution are very welcome :blush:

Deploying deep learning models in production can be challenging, as it is far beyond training models with good performance. Several distinct components need to be designed and developed in order to deploy a production level deep learning system (seen below):

<p align="center">
<img src="https://github.com/alirezadir/Production-Level-Deep-Learning/blob/master/images/components.png" title="" width="95%" height="95%">
</p>

This repo aims to be an engineering guideline for building production-level deep learning systems which will be deployed in real