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Codecademy

Learn Image Classification with PyTorch

via Codecademy

Overview

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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.

Syllabus

  • Image Classification with PyTorch: Learn how to use Python to build image classification models using CNNs and vision transformers in this PyTorch tutorial.
    • Lesson: Image Classification with PyTorch
    • Project: Classifying Microscopic Histopathology Images with PyTorch
    • Quiz: Image Classification with PyTorch Quiz
  • Advanced Topics in Image Models: Learn how to use Python to build image classification and object detection models with vision transformers in this PyTorch tutorial.
    • Lesson: Image Transformers with PyTorch
    • Lesson: Object Detection with PyTorch
    • Project: Pet Image Classification and Detection with Transformers
    • Quiz: Advanced Topics in Image Models Quiz
    • Informational: Learn Image Classification with PyTorch Next Steps

Taught by

Heather Hardway

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