Deep Learning on PyTorch with an object detection project

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Price: 39.99$

In this course you will learn the data representation skills and several other tools that you help you to: Implement research papers. Create projects that require a sophisticated data pipeline. Have a strong foundation to consume more advance educational content regarding deep learning or even data science. Though a practical project that consist on implementing an object detection paper from scratch some things that you need to know about the project: How only need to be familiar with image classification on Py Torch knowing about object detection is not a prerequisite. Having a high end GPU is not a requisite we can even get the job done with a google colab. We will not see any complex computer vision math equation. But what’s object detection exactly: Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, animals, buildings, or cars) in digital images and videos. It is widely used in computer vision tasks such as image annotation, vehicle counting, activity recognition, face detection, face recognition, video object co-segmentation. It is also used in tracking objects, for example tracking a ball during a football match, tracking movement of a cricket bat, or tracking a person in a video. It is a very hot topic in deep learning and you will learn the basics object detection using convolutional neural networks (CNN) on top of everything else previously mentioned.