Django- Create and Deploy a Full Stack Computer Vision model
Django- Create and Deploy a Full Stack Computer Vision model, Full Stack Computer Vision web app using python and Django, Transfer Learning, CNN, Keras, html, CSS, JavaScript, Ajax.
NEW, Created by Ashar Siddiqui, English
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What you'll 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.
- 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.
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