Description
Face Recognition with Machine Learning + Deploy Flask App course. AI based face recognition web application in Flask & Deploy Face recognition is one of the most used in my application. Knowledge of machine learning or deep learning alone is not enough if you want to develop and deploy the application on the web at all. You should also know how to create pipeline architecture and call it from client side, HTTP request and many more. 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 scratch. What will you learn?
- Python
- Image processing with OpenCV
- Image data preprocessing
- Image data analysis
- Eigenfaces with PCA
- Face recognition classification model with support vector machines
- Pipeline model
- Flask (Jinja template, HTML, CSS, HTTP methods)
- Face recognition web development
- Deploying the 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 the images. For pre-processing images, we extract features from the images viz. Calculating 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 a model tuned with a Grid search method for the best hyperparameters. we do. Once our machine learning model is ready, we learn and develop a middle-phase web server gateway in Flask, with HTML CSS and Bootstrap rendering on the front-end and backend written in Python. Finally, by integrating the machine learning model into the Flask App, we will build 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 detection 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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Build the 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 REST APIs in Flask
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Pattern inheritance in Flask
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Integration of machine learning model in Flask application
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Run a Flask application on Heroku Cloud
This course is suitable for people who
- Anyone who wants to learn image processing and build data science applications
- Python beginners who want to do a data science project
- Those who want to start their career in artificial intelligence and data science
- A data science beginner who wants to complete a data science project
Specifications of the course Face Recognition with Machine Learning + Deploy Flask App
- Publisher: Udemy
- teacher: Data Science Anywhere
- Training level: beginner to advanced
- Training duration: 10 hours and 48 minutes
Course topics Face Recognition with Machine Learning + Deploy Flask App
Face Recognition with Machine Learning course prerequisites + Deploy Flask App
- should be at least beginner level in Python
- Be able to understand HTML and CSS
- Basic Understanding of Machine Learning Concepts
Course images
Sample video of the course
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
3.6 GB
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