Mastering Image Segmentation with PyTorch

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Price: 49.99$

Welcome to Mastering Image Segmentation with Py Torch! In this course, you will learn everything you need to know to get started with image segmentation using Py Torch. Image segmentation is a key technology in the field of computer vision, which enables computers to understand the content of an image at a pixel level. It has numerous applications, including autonomous vehicles, medical imaging, and augmented reality. This course is designed for both beginners and experts in the field of computer vision. If you are a beginner, we will start with the basics of Py Torch and how to use it for simple modeling. Then, you will learn how to implement popular semantic segmentation models such as FPN or U-Net. By the end of this course, you will have the skills and knowledge to tackle real-world semantic segmentation projects using Py Torch. So why wait? Join me today and take the first step towards mastering image segmentation with Py Torch! In my course I will teach you: Tensor handlingcreation and specific features of tensorsautomatic gradient calculation (autograd)Modeling introduction, incl. Linear Regression from scratchunderstanding Py Torch model training Batches Datasets and Dataloaders Hyperparameter Tuningsaving and loading models Convolutional Neural Networks CNN theorylayer dimension calculationimage transformations Semantic Segmentation Architecture Upsampling Loss Functions Evaluation Metrics Train a Semantic Segmentation Model on a custom Dataset Enroll right now to learn some of the coolest techniques and boost your career with your new skills. Best regards, Bert