In this meetup series we go through the Fast.ai lessons part 2: Cutting edge deep learning for coders. We'll be going through the third version of this course.
From the website:
This course assumes you are familiar with part 1, Practical Deep Learning for Coders, so head over there if you haven't completed that course, or are not already familiar with current deep learning best practices. We will be assuming familiarity with everything from part 1, such as: CNNs (including resnets), RNNs (including LSTM and GRU), SGD/Adam/etc, batch normalization, data augmentation, PyTorch, and numpy. Like in part 1, there are around 20 hours of lessons, and you should plan to spend around 10 hours a week for 7 weeks to complete the material. The course is based on lessons recorded at The Data Institute at USF.
http://course18.fast.ai/part2.html
We're doing this course:
https://www.usfca.edu/data-institute/certificates/deep-learning-part-two
Join the Slack channel: https://join.slack.com/t/ai-lab-slack/shared_invite/enQtMzA5NDk2NDYyNDAzLTkxNDBlYTUwODM4MTQ2MzgxZTE1NGNmNGNjNGE0ODMzZGZhMzU2NmQyNzEzNjZmYjM0MGIzMWRkZmU1MDM3ZTg
Preliminary dates:
1. Thursday, March 28
2. Thursday, April 4
3. Thursday, April 11
4. Thursday, April 18
5. Thursday, April 25
6. Thursday, May 3
7. Thursday, May 9
Recap. Thursday, May 16
