Deep Learning for Computer Vision Specialization

Advance Your Engineering Career with AI Skills. Learn practical deep learning techniques for computer vision

Instructors: Amanda Wang +4 more

What you'll learn

  •   Apply the full deep learning workflow to real-world projects like detecting parking signs
  •   Retrain common classification and detection models like ResNet and YOLO
  •   Train and calibrate specialized models known as anomaly detectors
  •   Generate synthetic training images and use AI-assisted auto-labeling to save time and money
  • Skills you'll gain

  •   Application Deployment
  •   Classification And Regression Tree (CART)
  •   Data Processing
  •   Data Synthesis
  •   Deep Learning
  •   Matlab
  •   Computer Vision
  •   Performance Tuning
  •   Artificial Neural Networks
  •   Data Analysis
  •   Image Analysis
  •   Medical Imaging
  • Specialization - 3 course series

    As part of the specialization, you will apply your skills to solve real-world problems through hands-on projects. You’ll train a classifier that identifies the letters of American Sign Language. Then, you will train an object detection model to find and identify parking signs as needed for autonomous driving. Lastly, you’ll detect anomalies in medical images and perform AI-assisted data annotation to label new data for training.

    Deep Learning for Object Detection

    Advanced Deep Learning Techniques for Computer Vision

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