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Udemy – Deploy Django + AI ML Face Recognition Web App in AWS 2024-1
Published on: 2024-11-14 18:39:53
Categories: 28
Description
Deploy Django + AI ML Face Recognition Web App in AWS course. In this course, we will look at the world of computer vision and face recognition in the broad field of artificial intelligence and machine learning. This course is designed to guide you through the entire process of developing a complete project, from start to finish, and is suitable for those interested in machine learning and web development. If you aspire to become an AI developer, this course is your gateway to mastering AI and machine learning concepts while gaining hands-on experience.
What you will learn in this course:
- Django facial recognition web application deployment on AWS and Heroku Cloud
- Training face recognition model based on machine learning in Python
- Learning to recognize facial emotions using machine learning in Python
- Django web application development using the MVT framework
- SQLlite database design in Django
- Training support vector machines, random forest model for face recognition in Python
- Fixed error when deploying to Heroku
- Interaction of machine learning models with MVT framework
- Building a combined machine learning (stacking) model by combining SVM and random forest models in Python
- Face recognition with deep neural networks
- OpenCV basics for face recognition
- Heroku cloud management
- Django web application design with Bootstrap
Who is this course suitable for:
- Anyone who wants to learn OpenCV projects
- Python developers interested in AI projects
- People who want to learn HTML, Bootstrap
- People who know how to install Python libraries using pip
Description of the course Deploy Django + AI ML Face Recognition Web App in AWS
Course headings
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Prerequisites of the course Deploy Django + AI ML Face Recognition Web App in AWS
- Should be at least beginner to Python
- Basic knowledge in Machine Learning
- Understanding HTML, Bootstrap
- Should know how to install Python Libraries using pip
Course images
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Sample video of the course
Installation guide
After Extract, view with your favorite Player.
Subtitle: English
Quality: 720p
download link
Download part 1 – 1 GB
Download part 2 – 1 GB
Download part 3 – 1 GB
Download part 4 – 416 MB
File(s) password: www.downloadly.ir
File size
3.4 GB
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