AI-Deep-Learning-Lab-2019

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AI-Deep-Learning-Lab-2019

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Data, notebooks, and articles associated with the RSNA AI Deep Learning Lab

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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](#class-schedule). 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](https://accounts.google.com/signup/v2/webcreateaccount?flowName=GlifWebSignIn&flowEntry=SignUp). You can [delete the account](https://support.google.com/accounts/answer/32046?hl=en) when you complete the lessons if you wish.

We recommend that you use a computer with a recent vintage processor running the [Chrome browser](https://www.google.com/chrome/).

## Lessons

Lesson 1: [Beginners: Classification Task](https://colab.research.google.com/github/RSNA/AI-Deep-Learning-Lab/blob/master/IntrotoDeepLearning.ipynb)

Lesson 2: [Data Wrangling](https://colab.research.google.com/drive/18oDII_jjAe0cztLa-1ONC2kR1rlpKDsk)

Lesson 3: [Image Segmentation](https://colab.research.google.com/github/fangyi-mdai/rsna-2019-segmentation/blob/master/brain_segmentation.ipynb) / Slides: [RSNA 2019: Image Segmentation](http://segmentation.hai.bio)

Lesson 4: [Generative Adversarial Networks (GANs)](https://colab.research.google.com/github/RSNA/AI-Deep-Learning-Lab/blob/master/DeepLearningLab-BasicGAN.ipynb)

## 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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