Rating 4.1 out of 5 (62 ratings in Udemy)
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 …
Rating 4.1 out of 5 (62 ratings in Udemy)
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.
DescriptionThis 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.
