Smile Detection with Deep Learning

Course Feature

Cost

Paid
Provider

Udemy
Certificate

Paid Certification
Language

English
Start Date

2022-08-16
Learners

No Information
Duration

No Information
Instructor

Yacine Rouizi

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4.0

1,004 Ratings

This course is designed to teach intermediate Python programmers how to create an end-to-end application that can detect smiles in images and videos. With this course, learners will learn to use deep learning and train a convolutional neural network on the SMILES dataset. After training the network, learners will use Haar cascades to detect a face in an image, extract the face region from the image, pass the face region to the network for classification, and annotate the image with the label "smiling" or "not smiling". By the end of the course, learners will have a fully functional smile detection application that they can use in their own projects. So, if you are an intermediate Python programmer looking to learn how to create a smile detection application, this course is for you!

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Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 27th, 2023]

This course is designed to teach intermediate Python programmers how to create an end-to-end application that can detect smiles in images and videos. Through this course, learners will use deep learning to train a convolutional neural network on the SMILES dataset, which contains faces of people smiling and not smiling. After training the network, Haar cascades will be used to detect a face in an image, extract the face region from the image, pass the face region to the network for classification, and annotate the image with the label "smiling" or "not smiling" depending on the output of the network. Upon completion of the course, learners will have a fully functional smile detection application that they can use in their own projects.

Course Syllabus

Smile Detection

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