Deep Learning for Images with PyTorch

高级技能水平

更新时间 2025年6月

Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.

课程描述

This course on deep learning for images using PyTorch will equip you with the practical skills and knowledge to excel in image classification, object detection, segmentation, and generation.

Classify images with convolutional neural networks (CNNs)

You'll apply CNNs for binary and multi-class image classification and understand how to leverage pre-trained models in PyTorch. With bounding boxes, you'll also be able to detect objects within an image and evaluate the performance of object recognition models.

Segment images by applying masks

Explore image segmentation, including semantic, instance, and panoptic segmentation, by applying masks to images and learn about the different model architectures needed for each type of segmentation.

Generate images with GANs

Finally, you'll learn how to generate your own images using Generative Adversarial Networks (GANs). You'll learn the skills to build and train Deep Convolutional GANs (DCGANs) and how to assess the quality and diversity of generated images.By the end of this course, you'll have gained the skills and experience to work with various image tasks using PyTorch models.

先决条件

Intermediate Deep Learning with PyTorch

Image Classification with CNNs

Learn about image classification with CNNs, the difference between the binary and multi-class image classification models, and how to use transfer learning for image classification in PyTorch.

Binary and multi-class image classification

课程描述

Classify images with convolutional neural networks (CNNs)

Segment images by applying masks

Generate images with GANs

获得成就证明

加入超过.css-nklxlk{color:var(--wf-brand--main, #03EF62);}19百万学习者，今天就开始Deep Learning for Images with PyTorch！

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加入超过19百万学习者，今天就开始Deep Learning for Images with PyTorch！