Learn about the possibilities of computer vision in the automation of analyzing visual information beyond human potentialities in the course “Object Detection Recognition and Tracking - Xavier Morera.” Let’s explore the staple of image classification using Tensorflow, where Users can explain the main principles of a neural network in this field. Master how to create image classifiers of different levels of accuracy and study 3 kinds of neural networks.
Self-assertedly, by the end of this course, Object Detection Recognition and Tracking - Xavier Morera, you will know to develop an image classifier and track the art of detection recognition in the field of computer vision.
Object Detection Recognition and Tracking - Xavier Morera Table of Contents:
- Course Overview (1 min)
- Understanding How Neural Networks are Used for Image Classification (28 mins)
- Understanding Advanced Neural Networks for Image Classification: ResNet, Inception, and MobileNets (10 mins)
Who is this course for?
- Any person wishing to hone their data science skills to fit into the computer vision niche.
- Software engineers are still fascinated with integrating computer vision features in their projects.
- Anyone in their first year of college or holding a bachelor’s degree seeking additional knowledge of image classification and object detection.
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