Machine Learning Night: Fastai 2019 Bootcamp - Images (Lesson 1 review)

Every week on Monday

Fat Cat Fab Lab

224 West 4th Street, Suite 250 · New York, NY

How to find us

Press 7 and the bell icon at our front door.

Location image of event venue

Details

This week we'll do a review of lesson 1 (Image Classification),
and hopefully discuss some of the finer points. Also, if any of
you do some experimenting over the week, feel free to present it
at the meetup!

Slack channel for the meetup (thanks, Wenchang!):
https://join.slack.com/t/fatcatml/shared_invite/enQtNjkwODExODM3MzgzLWQwNjY0Mjg2ODk0NmRmMWVhY2I0Y2Y2Mzk1MDRhYjU2NjUzZjdiNzgwZGEzYzI2YTRkY2JmN2ExNjljZDIyOGY

Note: this isn't sponsored by fastai - we'll just be going
through their 2019 course week by week and learning it together.

Fastai is one of the more exciting ML projects out there.
Over the next weeks I want to try going through the new (2019)
fastai deep learning course, formally called:
Practical Deep Learning for Coders, v3
This course is now the first link on the fastai page: https://www.fast.ai/
or it can be accessed directly at : https://course.fast.ai/

We'll go through the notebooks for the course lessons together,
run them, and discuss. If you want to, you can follow along on
your laptop, and do your own experiments with the notebook code.

There are 7 lessons in the course, and I plan to do each lesson over two weeks.
This will allow you to get all the lessons even if you have to miss a week.
Also, if anyone does some experimenting on their own after the first week
and wants to talk about what they did they can do so in the second week.

To follow along, you should be familiar with Python and with using
Jupyter notebooks. You should also have an environment set up for
executing the course notebooks - there are many options for this
ranging from easy prepackaged environments like Kaggle or Colab,
to setting up a remote server on AWS, to setting up your own system.
The easy and free options include Kaggle and Colab.
Kaggle is a very easy way to get started - you just need to sign
up for an account (one-click), fork a kernel for one of the
course lessons, and start editing. For more details, see:
https://course.fast.ai/start_kaggle.html
Note: if using Kaggle, be sure to turn Internet on in the settings
so you can download external datasets from your notebook.

For info on other options, go to https://course.fast.ai
and click on "Server setup" on the left side.

Machine Learning Night happens every Monday at Fat Cat Fab Lab. Our group will discuss Machine Learning, Information Retrieval, Natural Language Processing, Knowledge Representation, and Artificial Intelligence.

We are a small group of students, computer scientists, engineers, academics, and entrepreneurs with a deep interest in these fields & related technologies.

Meeting topics are varied and can focus on current trends and technologies, best practices for development in big-data environments, and introductory discussions about machine learning and how to incorporate it into your life and business

• To Attend, you must join our Meetup group and RSVP. Please note: All meetups held at Fat Cat Fab Lab are private events. They are for members of the Fat Cat Fab Lab Meetup group only. All events are for persons 18 years and older.