Full Stack - Model creation and deployment in Python/Django

Full Stack - Model creation and deployment in Python/Django

Full Stack portal using python and Django, Transfer Learning, CNN, Computer Vision, Python, html, CSS, Javascript.

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Created by Ashar Siddiqui

English

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What you'll learn

• Creating a full stack computer vision model using Transfer Learning. 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 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.
• Learn Django and Integrating a python code with the Django Framework.
• How to create a user interface(UI) for your python code or ML/DL model that can take input from user, pass the input to your ML/DL model and renders back the results to UI.
• How to utilize transfer learning for feature extraction thus helping train new models without the need of a powerful GPU.
• Re-usability : how to quickly retrain the model that you create on new set of images.
• How to create an end to end computer vision project.