Learn Image Classification with PyTorch
Learn how to use Python to build image classification models using CNNs and vision transformers in this PyTorch tutorial.
Skill level
IntermediateTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary1 hourProjects
1Prerequisites
2 coursesWe suggest you complete the following courses before you get started with Learn Image Classification with PyTorch:- Intro to PyTorch and Neural Networks
- PyTorch for Classification
About this course
Get ready to start your journey into the exciting world of image classification! In this course, you will learn how to build and train deep-learning models for image recognition using Python. You will explore convolutional neural networks (CNNs), vision transformers (ViTs), and detection transformers (DETR) to classify images, detect objects, and understand visual data. You will also learn how to preprocess images, apply data augmentation, and fine-tune pretrained models to improve accuracy.
Skills you'll gain
Process and transform images for deep learning models
Understand convolutional neural networks and vision transformers
Use PyTorch to train and fine-tune image classification models
Apply detection transformers for object detection and localization
Syllabus
Image Classification with PyTorch
Learn how to use Python to build image classification models using CNNs and vision transformers in this PyTorch tutorial.
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