Description
Face Recognition with Machine Learning + Deploy Flask App Course. AI Based Face Recognition in Flask and Deploy Web Application Face recognition is one of the most used in my application. If you want to develop and deploy the application on the web then only knowledge of machine learning or deep learning is not enough, you also need to know how to create pipeline architecture and how to call it from client side, HTTP requests and many more things. While doing this, you may face many challenges while developing the app. This course is structured in such a way that you can develop face recognition based web application from the very beginning. What will you learn?
- Python
- Image Processing with OpenCV
- Image data preprocessing
- Image data analysis
- Eigenfaces are related to PCA
- Face recognition classification model with support vector machines
- Pipeline Model
- Flask (Jinja templates, HTML, CSS, HTTP methods)
- face recognition web development
- Deploying a Flask application in the cloud (Heroku)
You will learn image processing techniques in OpenCV and the concepts behind images. We will also perform the necessary image analysis and pre-processing steps required for images. For pre-processing of images, we extract features from the images. Compute Eigen Images Using Principal Component Analysis with Eigen images, we train a machine learning model and also learn to test our model before deployment to get the best results from the tuned model with grid search method for the best hyperparameters. Once our machine learning model is ready, we learn and develop a middle-stage web server gateway in Flask by rendering HTML, CSS, and Bootstrap written in Python on the frontend and backend. Finally, by integrating the machine learning model into the Flask app, we will make the project into a face recognition project.
What you will learn in the Face Recognition with Machine Learning + Deploy Flask App course
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Automatic face recognition in images and videos
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Automatic recognition of faces from images and videos
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Evaluate and tune machine learning
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Building a Machine Learning Model for Classification
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Create a pipeline model to deploy your application
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Image Processing with OpenCV
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Data Preprocessing for Images
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Create a REST API in Flask
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Pattern Inheritance in Flask
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Integration of machine learning models into Flask application
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Run Flask application on Heroku cloud
This course is suitable for those who
- Anyone who wants to learn image processing and build data science applications
- Python beginners who want to do data science projects
- People who want to start their career in Artificial Intelligence and Data Science
- A beginner in data science who wants to complete a data science project
Face Recognition Course Specifications with Machine Learning + Deploy Flask App
- Publisher: Udemy
- Lecturer: Data Science Anywhere
- Training level: Beginner to advanced
- Training duration: 10 hours and 48 minutes
Course Topics Face Detection with Machine Learning + Deploying a Flask App
Face recognition with machine learning course prerequisites + deploying a Flask app
- Must be at least a beginner in Python
- Be able to understand HTML and CSS
- Basic understanding of Machine Learning concepts
Course Images
Sample video of the course
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