[ FreeCourseWeb.com ] Hands-on Computer Vision with PyTorch 1.x: Implement state-of-the art CV models in modern Pytorch



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h264, yuv420p, 1920x1080 |ENGLISH, aac, 48000 Hz, 2 channels, s16 | 2h 57 mn | 1.59 GB

Instructor: Colibri Ltd

Provide computer vision and build systems that rival human sight. Designed for beginners to computer vision or PyTorch.

Learn



Go from a beginner in the field of computer vision to an advanced practitioner with real-world insights

Take advantage of PyTorch's functionalities such as tensors, dynamic graphs, auto-differentiation, and more

Explore various computer-vision sub-topics, such as Conv nets, ResNets, Neural Style Transfer, data augmentation, and more

Build state-of-the-art, industrial image classification algorithms

Effortlessly split, augment, and draw conclusions from datasets

Extract information effortlessly from groundbreaking research papers



About



PyTorch is powerful and simple to use. This course will help you leverage the power of PyTorch to perform image processing. Beginning with an introduction to image processing, the course introduces you to basic deep-learning and optimization concepts. Next, you'll learn to use PyTorch's APIs such as the dynamic graph computation tensor, which can be used for image classification. Starting off with basic 2D images, the course gradually takes you through recognizing more complex images, color, shapes, and more.



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