Python/Django App- Create & Deploy a Computer Vision Model

Python/Django App- Create & Deploy a Computer Vision Model

This Course has been designed for the developers who are able to train ML/DL models, but they struggle when it comes to saving the model for future use or when it comes to deploying the model through a full stack portal.

This course will teach you how to train and create computer vision model from scratch, how to utilize transfer learning for feature extraction, how to save those models using pickle,  and how to deploy the models using Django framework.

Full Stack Computer Vision web app using python and Django, Transfer Learning, CNN, Keras, html, CSS, JavaScript, Ajax.

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What you will learn

• Creating a full stack computer vision model using Transfer Learning in Python. The course will include details on how to create a computer vision model in python, and how to host it on server using Django.
• How to save and deploy any python ML/DL model you have created using Django.
• How to deploy a model in Production, Client Side(html, CSS) and Server side(Python) programming. All open source and free to use technologies.

Rating: 4.1

Level: Intermediate Level

Duration: 7.5 hours

Instructor: Ashar Siddiqui