Full Stack Computer Vision web app using python and Django, Transfer Learning, CNN, Keras, html, CSS, JavaScript, Ajax.
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
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.
This comprehensive Python/Django App- Create & Deploy a Computer Vision Model curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
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What you need before starting this Python/Django App- Create & Deploy a Computer Vision Model course:
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Everything you need to know about this online course, from duration to certification
Course Instructor
Ashar Siddiqui
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
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