Master Computer Vision & Deep Learning: OpenCV, YOLO, ResNet
Unlock the Power of Object Detection with Deep Learning: YOLO, SSD, SVM, ResNet50, Inceptionv3 and CNNs
4.32 (34 reviews)
163
students
4 hours
content
Jan 2025
last update
$49.99
regular price
What you will learn
Master the fundamentals of deep learning, including neurons, neural networks, and activation functions
Discover the architecture and design of state-of-the-art object detection models, such as Faster R-CNN, RetinaNet, SDD, and YOLO
Build a real-world object detection application to automatically detect license plate numbers using Faster R-CNN
Learn about the architecture and design of image classification models, such as SVM, VGG-16, ResNet50, and InceptionV3
Develop an image classification application to detect and train traffic sign boards using SVM
Train an image classification model using ResNet to classify 20 different sets of multiple images
Understand the design of object tracking frameworks, such as Meanshift, SORT, and DeepSORT
Build a solution to track football players using object tracking
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4625574
udemy ID
4/3/2022
course created date
7/18/2022
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