explanation
This is a learning period where you will learn how to create a face recognition (artificial intelligence) project using Flask, Python, OpenCV, machine learning, algorithms, and Flask from start to finish. .
In the preprocessing step, the image is characterized using the extracted analysis components. You can learn machine learning using the values of special face models. You’ll also learn how the model works before running any tests. Adjust your model for best results with the grid search method.
After completing this course, you will be able to work on any artificial intelligence project. Each project includes data collection, data understanding, data preprocessing, analysis, data, modeling, pre-generation, API, and Flask roasting.
At the end of the course, we will learn what integrated model machine learning was like using Flask to create face recognition for the project.
If you are teaching a course:
- Facial recognition, automatic image and video
- Evaluation and Adjustment, Machine Learning
- Create a model pipeline For use in apps
- Image data processing
- Genetic templates in Flask
- Automatic face image and video finding
- Create a machine learning model for classification
- Unified model, machine learning in Flask
Profile Courses:
publisher : : Udemy
Instructor: Sudhir G
duration: 7 hours 39 minutes
Number of courses: 51
Language:English
This course covers a facial recognition web app using machine learning in Flask.
Prerequisite subjects
You must be at least a beginner level Python user.
Anyone who can understand HTML and CSS
image
sample video
installation manual
Custom view after extraction to player.
Subtitles: N/A
Quality: 720p
download link
Password file: www.downloadly.ir
file size
3.31GB