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Udemy – Facial Recognition Web App with Machine Learning in Flask 2020-7 – Downloadly

Description

Facial Recognition Web App with Machine Learning in Flask, the training period covering how to build a facial recognition (artificial intelligence) project using Python, OpenCV, machine learning, algorithms and Flask from the beginning and for the entire training is created.

In the pre-processing phase, the features of the image are extracted using the analysis component. Machine learning can be trained by using the values ​​of the special face model. You’ll also learn how your model works before you run the test. For best results using the grid search method, adjust your model.

After completing this course, you will be able to carry out any project in the field of artificial intelligence. Each project includes the steps of Collect Data, Understand Data, Preprocess Data, Analysis, Data, Modeling, Before, Intermediate, Build, API, and Roast ” in Flask

In the final step of the course and to do the facial recognition project, you will learn how the built-in machine learning model worked with Flask.

Cases in which the course is taught:

  • Face recognition, automatic image and video recognition
  • Assessment and adaptation, machine learning
  • Create a model pipeline for use in the app
  • Data processing for the images
  • Inheritance template in Flask
  • Automatically find facial images and videos
  • Build a machine learning model for classification
  • The built-in model, machine learning in Flask

Profile courses:

Publisher: : Udemy
Lecturer: Sudhir G
Duration: 7h 39m
Number of courses: 51 lessons
Language: English

This course is about the facial recognition web app with machine learning in Flask

Facial recognition web app with machine learning in Flask Content

Prerequisite course

Should have at least beginner level in Python
You need to understand HTML and CSS

Pictures

Facial recognition web app with machine learning in Flask Cover

Example film

installation Guide

After extracting with the player you will get your custom view.

Subtitle: N/A

Quality: 720p

Download link

Download Part 1 – 1GB

Download Part 2 – 1GB

Download Part 3 – 1GB

Download Part 4 – 319 MB

Password file(s): www.downloadly.ir

File size

3.31GB