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RSNA AI Deep Learning Lab 2019

Intro

Welcome Deep Learners!

This document provides all the information you need to participate in the RSNA AI Deep Learning Lab. This set of classes provides a hands-on opportunity to engage with deep learning tools, write basic algorithms, learn how to organize data to implement deep learning and improve your understanding of AI technology.

The classes will be held in the RSNA AI Deep Learning Lab classroom, which is located in the AI Showcase in North Building, Level 2, space 10342. Here's the schedule of classes. CME credit is available for each session.

Requirements

All lessons are designed to run in Google Colab, which is a free web-based version of Jupyter hosted by Google. You will need a Google account (eg, gmail) to use Colab. If you don't already have a Google account, please create one in advance at the account sign-up page. You can delete the account when you complete the lessons if you wish.

We recommend that you use a computer with a recent vintage processor running the Chrome browser.

Lessons

Lesson 1: Beginners: Classification Task

Lesson 2: Data Wrangling

Lesson 3: Image Segmentation / Slides: RSNA 2019: Image Segmentation

Lesson 4: Generative Adversarial Networks (GANs)

Class Schedule

Date / Time Class
Sun 10:30-12:00 pm Beginners: Classification Task
Sun 1:00-2:30 pm Image Segmentation
Sun 3:00-4:30 pm Data Science: Data Wrangling
Mon 10:30-12:00 pm Beginners: Classification Task
Mon 1:00-2:30 pm Data Science: Data Wrangling
Mon 3:00-4:30 pm Generative Adversarial Networks (GANs)
Tue 10:30-12:00 pm Generative Adversarial Networks (GANs)
Tue 1:00-2:30 pm Image Segmentation
Tue 3:00-4:30 pm Beginners: Classification Task
Wed 10:30-12:00 pm Image Segmentation
Wed 1:00-2:30 pm Generative Adversarial Networks (GANs)
Wed 3:00-4:30 pm Beginners: Classification Task
Thu 10:30-12:00 pm Data Science: Data Wrangling
Thu 1:00-2:30 pm Segmentation

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