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Autor Tópico: Face Recognition Web App with Machine Learning in Flask  (Lida 185 vezes)

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Face Recognition Web App with Machine Learning in Flask
« em: 12 de Outubro de 2020, 10:44 »

Face Recognition Web App with Machine Learning in Flask
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 3.7 GB
Genre: eLearning Video | Duration: 51 lectures (7 hour, 39 mins) | Language: English
 Create an Face Recognition (AI) project from scratch with Python, OpenCV , Machine Learning Algorithms and Flask

What you'll learn

    Automatic Face Recognition in images and videos
    Automatically detect faces from images and videos
    Evaluate and Tune Machine Learning
    Building Machine Learning Model for Classification
    Make Pipeline Model for deploying your application
    Image Processing with OpenCV
    Data Preprocessing for Images
    Create REST APIs in Flask
    Template Inheritance in Flask
    Integrating Machine Learning Model in Flask App

Requirements

    Should be at-least beginner level in Python
    Be able to understand HTML and CSS
    Basic Understanding of Machine Learning Concepts

Description

In this course, you will learn end to end process and able to build any artificial intelligence Project. Starting from

    Gathering the data,

    Data Understanding

    Data Preprocessing

    Data Analysis

    Predictive Modelling

    Create REST APIs in Flask

You will image processing techniques in OpenCV and the concepts behind the images. We will also do the necessary image analysis and required preprocessing steps for images.

For the preprocess images, we will extract features from the images, ie. computing Eigen images using principal component analysis. With Eigen images, we will train the Machine learning model and also learn to test our model before deploying, to get the best results from the model we will tune with Grid search method for best hyperparameters.

Once our machine learning model is ready, will we learn and develop web server gateway interphase in flask by rendering HTML CSS and bootstrap in the frontend and in the backend written in Python.  Finally, we will create the project on the Face Recognition project by integrating the machine learning model to Flask App.

Who this course is for:

    Any one who want to learn image processing and build data science applications
    Beginners on Python who want to data science project
    Who want to start their career in artificial intelligence and data science
    Data science beginner who want to build end to end data science project

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