Python/Django App- Create & Deploy a Computer Vision Model
Full Stack Computer Vision web app using python and Django, Transfer Learning, CNN, Keras, html, CSS, JavaScript, Ajax.
4.26 (75 reviews)
466
students
7.5 hours
content
May 2021
last update
$54.99
regular price
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.
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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Related Topics
2185976
udemy ID
30/01/2019
course created date
22/11/2019
course indexed date
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