Deep Learning for Object Detection

This course is part of multiple programs. Learn more

Instructors: Mehdi Alemi +4 more

What you'll learn

  •   Retrain popular YOLO deep learning models for your applications
  •   Visualize results to gain insights into model performance
  •   Evaluate detection models by examining both class and location accuracy.
  •   Analyze labeled images to identify and fix potential data shortcomings
  • Skills you'll gain

  •   Data Analysis
  •   Image Analysis
  •   Applied Machine Learning
  •   Matlab
  •   Data Visualization
  •   Machine Learning Methods
  •   Performance Tuning
  •   Computer Vision
  •   Deep Learning
  • There are 4 modules in this course

    By the end of this course, you will be able to: • Explain how deep learning networks locate and classify objects in images • Retrain popular YOLO deep learning models for your application • Use a variety of metrics to evaluate prediction results • Visualize results to gain insights into model performance • Improve model performance by adjusting important model parameters • Analyze labeled images to identify and fix potential shortcomings in your data For the duration of the course, you will have free access to MATLAB, software used by top employers worldwide. The courses draw on the applications using MATLAB, so you spend less time coding and more time applying deep learning concepts.

    Training Object Detection Models

    Evaluating Object Detection Models

    Final Project: Train and Evaluate a Detection Model

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