Overview
Build and evaluate medical AI models using TensorFlow in this hands-on course focused on analyzing chest x-rays. Learn from Dr. Jason Adleberg as you progress through key stages including problem definition, data preparation, model training, and performance evaluation. Gain practical experience with Google Colab, explore essential facts about chest x-rays, and dive into statistical concepts such as histograms, sensitivity, specificity, and AUC curves. By the end of this 1-2 hour course, you'll have developed valuable skills in applying machine learning to real-world medical imaging challenges.
Syllabus
⌨️ Intro
⌨️ Getting started with Google Colab
⌨️ Facts about Chest X-Rays
⌨️ 1. Defining a Problem
⌨️ 2. Preparing the Data
⌨️ 3. Training the Model
⌨️ 4. Running the Model
⌨️ 5a. Evaluating Performance
⌨️ 5b. Stats: Histogram, Sensitivity & Specificity
⌨️ 5c. Stats: AUC Curve
⌨️ 6. Saving our Model
Taught by
freeCodeCamp.org