Computer Vision Masterclass
Learn in practice everything you need to know about Computer Vision! Build projects step by step using Python!
4.52 (1197 reviews)
35,085
students
25.5 hours
content
Dec 2023
last update
$74.99
regular price
What you will learn
Understand the basic intuition about Cascade and HOG classifiers to detect faces
Implement face detection using OpenCV and Dlib library
Learn how to detect other objects using OpenCV, such as cars, clocks, eyes, and full body of people
Compare the results of three face detectors: Haarcascade, HOG (Histogram of Oriented Gradients) and CNN (Convolutional Neural Networks)
Detect faces using images and the webcam
Understand the basic intuition about LBPH algorithm to recognize faces
Implement face recognition using OpenCV and Dlib library
Recognize faces using images and the webcam
Understand the basic intuition about KCF and CSRT algorithms to perform object tracking
Learn how to track objects in videos using OpenCV library
Learn everything you need to know about the theory behind neural networks, such as: perceptron, activation functions, weight update, backpropagation, gradient descent and a lot more
Implement dense neural networks to classify images
Learn how to extract pixels and features from images in order to build neural networks
Learn the theory behind convolutional neural networks and implement them using Python and TensorFlow
Implement transfer learning and fine tuning to get incredible results when classifying images
Use convolutional neural networks to classify the following emotions in images and videos: happy, anger, disgust, fear, surprise and neutral
Compress images using linear and convolutional autoencoders
Detect objects in images in videos using YOLO, one of the most powerful algorithms today
Recognize gestures and actions in videos using OpenCV
Learn how to create hallucinogenic images with Deep Dream
Learn how to revive famous artists with style transfer
Create images that don't exist in the real world with GANs (Generative Adversarial Networks)
Implement image segmentation do extract useful information from images and videos
Screenshots
3645715
udemy ID
11/19/2020
course created date
2/19/2021
course indexed date
Bot
course submited by