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10/30/2020
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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, OpenScience, machine learning, algorithms and Flask from scratch. .
In the preprocessing stage, image properties are extracted using component analysis. Using special face values, the machine learning model is trained. You will also learn how to test your model before running. For best results, 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 steps of data collection, data comprehension, data preprocessing, data analysis, predictive modeling, creating a Rast API in Philosophy
In the final steps of this course, in order to create a face recognition project, you will learn how to integrate a machine learning model with philosophy.
Automatic face recognition in image and video
Assess and regulate machine learning
Create a Pipeline model for use in the application
Data processing for images
Temple inheritance in philosophy
Automatic face finding in image and video
Create a machine learning model for classification
Integrate machine learning model in philosophy
Publisher:: Udemy Instructor: Sudhir G Duration: 7h 39m Number of lessons: 51 lessons English language
Should be at-least beginner level in Python Be able to understand HTML and CSS
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 720p
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