Chapters (11)
- 0:00Intro
- 1:11Getting started with Google Colab
- 1:50Facts about Chest X-Rays
- 6:361. Defining a Problem
- 12:332. Preparing the Data
- 19:453. Training the Model
- 32:004. Running the Model
- 37:055a. Evaluating Performance
- 48:445b. Stats: Histogram, Sensitivity & Specificity
- 1:01:005c. Stats: AUC Curve
- 1:08:196. Saving our Model
Show the creator's full description
Learn how to build and evaluate medical AI models with TensorFlow. This is a great, real world project for improving your machine learning skills. You will use TensorFlow to evaluate chest x-rays.
✏️ Dr. Jason Adleberg teaches this course.
Jason on Twitter: https://www.twitter.com/pixels2patients
Jason on Linkedin: https://www.linkedin.com/in/jason-adleberg-6b444b52
💻 Colab Notebook: https://colab.research.google.com/drive/1klBxr93NYXrLFOVMXhm0RbVm5PIjfXQn
❤️ Try interactive AI courses we love, right in your browser: https://scrimba.com/freeCodeCamp-AI (Made possible by a grant from our friends at Scrimba)
⭐️ Course Contents ⭐️
⌨️ (0:00:00) Intro
⌨️ (0:01:11) Getting started with Google Colab
⌨️ (0:01:50) Facts about Chest X-Rays
⌨️ (0:06:36) 1. Defining a Problem
⌨️ (0:12:33) 2. Preparing the Data
⌨️ (0:19:45) 3. Training the Model
⌨️ (0:32:00) 4. Running the Model
⌨️ (0:37:05) 5a. Evaluating Performance
⌨️ (0:48:44) 5b. Stats: Histogram, Sensitivity & Specificity
⌨️ (1:01:00) 5c. Stats: AUC Curve
⌨️ (1:08:19) 6. Saving our Model
🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
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👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan
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