Smile Detection with Deep Learning

Smile Detection with Deep Learning, available at $29.99, has an average rating of 4.35, with 7 lectures, based on 11 reviews, and has 1007 subscribers.

You will learn about detect faces in images with Haar Cascades Train a CNN to detect smiling and not smiling Apply the smile detector to real world images Apply the smile detector to videos This course is ideal for individuals who are Intermediate Python programmers that have some familiarity with deep learning and computer vision. It is particularly useful for Intermediate Python programmers that have some familiarity with deep learning and computer vision.

Enroll now: Smile Detection with Deep Learning

Summary

Title: Smile Detection with Deep Learning

Price: $29.99

Average Rating: 4.35

Number of Lectures: 7

Number of Published Lectures: 7

Number of Curriculum Items: 7

Number of Published Curriculum Objects: 7

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

detect faces in images with Haar Cascades

Train a CNN to detect smiling and not smiling

Apply the smile detector to real world images

Apply the smile detector to videos

Who Should Attend

Intermediate Python programmers that have some familiarity with deep learning and computer vision.

Target Audiences

Intermediate Python programmers that have some familiarity with deep learning and computer vision.

In this course, we will be creating an end-to-end application that can detect smiles in images and videos.

For that, we will use deep learning and start by training a convolutional neural network on the SMILES dataset which contains faces of people smiling and not smiling. Once the network is trained, we will go through the following steps to detect smiles in images and videos:

1. We will use Haar cascades to detect a face in an image.

2. We will then extract the face region from the image.

3. then we will pass the face region to the network for classification.

4. And finally, we will annotate the image with the label “smiling” or “not smiling” depending on the output of the network.

This class was made for intermediate Python programmers that have some familiarity with deep learning and computer vision.

By the end of this course, you’ll have a fully functional smile detection application that you can use in your own projects.

What you’ll get:

When you buy the course you’ll receive:

1 hour of HD video tutorials

Source code, example images, and videos used in the course

Lifetime access to the course

Priority support

What is covered in this course:

Just so that you have some idea of what you will learn in this course, these are the topics that we will cover:

Load the Data

Train the Smile Detector

Apply Our Smile Detector to Images

Apply Our Smile Detector to Videos

Course Curriculum

Chapter 1: Smile Detection

Lecture 1: Introduction

Lecture 2: Installation

Lecture 3: Loading the Data

Lecture 4: Training the Smile Detector

Lecture 5: Applying Our Smile Detector to Images

Lecture 6: Applying Our Smile Detector to Videos

Lecture 7: Conclusion

Instructors

Yacine Rouizi
blogger

Rating Distribution

1 stars: 0 votes

2 stars: 1 votes

3 stars: 0 votes

4 stars: 4 votes

5 stars: 6 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!