Released 4/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + vtt | Duration: 39m | Size: 107 MB
Computer vision applications can automate and enhance the analysis and interpretation of visual data beyond human capabilities. This course will teach you how image classifiers can perform object detection recognition and tracking using Tensorflow.
Computer vision applications can automate and enhance the analysis and interpretation of visual data (images/videos) beyond human capabilities. In this course, Object Detection Recognition and Tracking, you'll learn to create an image classifier using Tensorflow. First, you'll explore how neural networks are used for image classification. Next, you'll learn how to create an image classifier with different levels of accuracy. Finally, you'll learn about three different types of neural networks. When you're finished with this course, you'll have the skills and knowledge of computer vision for object detection recognition and tracking needed to create an image classifier.
Homepage
https://app.pluralsight.com/library/courses/object-detection-recognition-tracking/table-of-contents
