[Study group] Fast.ai Deep Learning - Lesson 1

In this study group we will be working through the fast.ai deep learning MOOC: Practical Deep Learning For Coders, Part 1 http://course.fast.ai/

Free and open to all.

Agenda:
6pm - food, drink
6:30pm - fast.ai Deep Learning Lesson 1

Lessons schedule:
Intro - Monday, 9/24, TechElevator, 6:30pm
Lesson 1 - Monday, 10/1, Crown Centre, 6:30pm
Lesson 2 - Monday, 10/8, TechElevator, 6:30pm
Lesson 3 - Monday, 10/15, TechElevator, 6:30pm
Lesson 4 - Monday, 10/22, TechElevator, 6:30pm
Lesson 5 - Monday, 10/29, Parma-Snow Library, 6:30pm
Lesson 6 - Monday, 11/5, TechElevator, 6:30pm
Lesson 7 - Monday, 11/12, Parma-Snow Library, 6:30pm

Please note that we have no official connection with fast.ai.

Over the next 7 weeks, we will be following the 2018 version of the fast.ai course, Practical Deep Learning for Coders, Part 1, week by week.

Each session we will use that week’s fast.ai lectures and course materials as a basis for discussion and learning. Everyone is invited to contribute their insights and questions.

Prior to each session, would be great if you watch the lecture for that week and work on course assignments.

The fast.ai course is based around Python 3.6, so familiarity with numpy and pandas is ideal. For the deep learning component, fast.ai supplies its own package (fastai) which is built on top of PyTorch, a python package for tensor computation and deep learning.

Agenda:

1. Intro
2. Purpose of this group: Support, encouragement, help, accountability.
3. About the course:

• 7 lessons, about 20 hours of video:
• Lesson 1: Image recognition
• Lesson 2: CNNs
• Lesson 3: Overfitting
• Lesson 4: Embeddings
• Lesson 5: NLP
• Lesson 6: RNNs
• Lesson 7: CNN architectures
• Expect to spend 10 hours per week (i.e. 70 hours total person/GPU time)
• Prereqs: Basic/pragmatic coding, tenacity, open mind, high school math

4. Where to run lessons:

• GPU enabled server

5. Q&A
6. Next steps.

Here are links to some more resources:

fast.ai course home page: http://course.fast.ai/index.html

The course forum is here: http://forums.fast.ai/

The fast.ai GitHub containing all the course notebooks is here: https://github.com/fastai/fastai/tree/master/courses/dl1

The fastai Python package is here: https://github.com/fastai/fastai/tree/master/fastai

AI6
https://nurture.ai/ai-saturdays

CAIG:
https://clevelandaigroup.github.io/

Hope to see you there,
Cleveland Artificial Intelligence Group and AI6
@Brendan Mulcahy
@Michael Kudlaty
@Jason Mancuso
@Michał Wojczulis