Face Recognition with Machine Learning + Deploy Flask App

May 28, 2024 Data Science, Development, Udemy CoursesUdemy

Deal Score+1

Udemy Coupon Code for Face Recognition with Machine Learning + Deploy Flask App Course. Create an Face Recognition project from scratch with Python, OpenCV , Machine Learning Algorithms, Flask, Heroku Deploy

Created by Sudhir G, FreeAI Team | 7.5 hours on-demand video course

Face Recognition with Machine Learning Course Overview

Face Recognition with Machine Learning + Deploy Flask App
What you’ll learn
Best Machine Learning Course on Udemy (2024)
Who this course is for

Face Recognition with Machine Learning + Deploy Flask App

MLOPs: AI based Face Recognition Web App in Flask & Deploy

Face recognition is one of the most widely used in my application. If at all you want to develop and deploy the application on the web only knowledge of machine learning or deep learning is not enough. You also need to know the creation of pipeline architecture and call it from the client-side, HTTP request, and many more. While doing so you might face many challenges while developing the app. This course is structured in such a way that you can able to develop the face recognition based web app from scratch.

You will learn 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 the Grid search method for the best hyperparameters.

Once our machine learning model is ready, will we learn and develop a 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.