Description
Face Recognition Web App with Machine Learning in Flask, a training course that teaches how to create a face recognition web application project (artificial intelligence) using Python, OpenCV, machine learning, algorithms and Flask from scratch and fully .
In the pre-processing stage, image features are extracted using component analysis. By using the special values of the face, the machine learning model is trained. You will also learn how to test your model before implementation. To get the best results, you adjust your model with the Grid search method.
By completing this course, you will be able to do any artificial intelligence project. Each project includes the steps of data collection, data understanding, data preprocessing, data analysis, predictive modeling, and creating REST APIs in Flask.
In the final steps of this training course and in order to create a face recognition project, you will learn how to integrate the machine learning model with Flask you will ask
Items taught in this course:
- Automatic face recognition in image and video
- Evaluation and tuning of machine learning
- Create a model Pipeline For use in the application
- Data processing for images
- Template inheritance in Flask
- Automatic face detection in image and video
- Creating a machine learning model for classification
- Integrating machine learning model in Flask
Course details:
Publisher: Udemy
Lecturer: Sudhir G
period of time: 7h 39m
Number of lessons: 51 lessons
English language
Course topics Face Recognition Web App with Machine Learning in Flask
Course prerequisite
Should be at least beginner level in Python
Be able to understand HTML and CSS
Pictures
Sample video
Installation guide
After extracting, watch with your favorite player.
Subtitle: None
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
3.31 GB
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