Deep-Learning-Audio-Application-From-Design-to-Deployment

This repo contains detail abouts how to implement production grade speech recognition and deploy it over AWS.

Code and slides for the "Deep learning (audio) application: From design to deployment" tutorials.

Learn how to build a simple speech recognition system with TensorFlow and deploy it with Docker as a Flask API on Amazon AWS..

For any question, reach out to me at. Linkedin Email

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
1- Overview		1- Overview
2- Preparing the Dataset		2- Preparing the Dataset
3- Implementing a Speech Recognition System in TensorFlow 2		3- Implementing a Speech Recognition System in TensorFlow 2
4- Making Predictions with the Speech Recognition System		4- Making Predictions with the Speech Recognition System
5- Deploying the Speech Recognition System as a Flask API		5- Deploying the Speech Recognition System as a Flask API
6- Deploying the Speech Recognition System with uWSGI		6- Deploying the Speech Recognition System with uWSGI
7- Deploying the Speech Recognition System on Docker with NGINX		7- Deploying the Speech Recognition System on Docker with NGINX
8- Deploying on AWS		8- Deploying on AWS
.gitignore		.gitignore
README.md		README.md

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