Description
Face Recognition Web App with Machine Learning in Flask, the training period of creating a facial recognition (artificial intelligence) project with the use of Python, OpenCV, machine learning, algorithms and Flask from the beginning and for the complete training .
At the pre-processing step, the image is characterized using the extracted analysis component. With the use of special face model values, machine learning train can be. Additionally, you will learn how your model works before you run the test. For best results with the grid search method, tune your model.
By completing this course, you will be able to carry out any artificial intelligence project. Each project includes a stage of data collection, data understanding, data pre-processing, analysis, data, modeling, there is, in between, creation, API, roasting in Flask is
In the closing stage of the course and in order to recognize the face of the project, you comment on the integrated machine learning model with Flask the learning was.
Cases in which the course is taught:
- Automatic face, image and video detection
- Evaluation and adjustment, machine learning
- Create a model Pipeline for use in the app
- Data processing for images
- Inheritance model in Flask
- Find auto face picture and video
- Create a machine learning model for classification
- The built-in model, machine learning in Flask
Profile courses:
Publisher:: Udemy
Instructor: Sudhir G
Duration: 7h 39m
Number of lessons: 51 lessons
French language
This course will be Face Recognition Web App with Machine Learning in Flask
Prerequisite course
Must be at least beginner level in Python
Be able to understand HTML and CSS
Pictures
sample movie
Installation guide
After extracting with the player, your custom view.
Subtitles: N/A
Quality: 720p
Download link
Password file(s): ngaur.com
File size
3.31 GB