If this is the second Tuesday of the Month, please RSVP to the monthly ML/DL PC @Capital One event.
This is a weekly PROJECT CLUSTER where attendees have time to work on projects that involve AI Machine or Deep Learning in a helpful & supportive environment. Many people who attend are using a fastai library on top of PyTorch (or Swift4TensorFlow) to build models. People using Keras & TensorFlow are very welcome too.
This group is for intermediate level coders & ML/DLnewcomers to experienced practitioners. (Bring your laptop & charger.)
__Project Cluster Agenda__:** 6:00 - 6:45 (45m) Get online, meet your seat neighbors, & start work** 6:45 - 7:00 (15m) Welcome & project updates** 7:00 - 9:00 (2h) Get more work done!
We strongly recommend that ML/DL newbies watching a fast.ai course video (https://course.fast.ai/) or one of Andrew Ngs videos before asking others for help. You can watch videos (with headphones) at the study group.
Join our Slack Workspace (http://bit.ly/JoinSlackFastaiSFbay) & channel #sg-sf (stands for "study group - sf") to share links or for questions about logistics flag @Deena & @Molly. We prefer you post code on the forum (https://forums.fast.ai/).
Get to know your hosts:Deena: https://www.linkedin.com/in/deena-blumenkrantz/Molly: https://www.linkedin.com/in/molly-beavers-651025118/
All attendees are expected to abide by the Code of Conduct:http://bit.ly/LadyNerds-CoC
If you avoid social media & therefore cannot sign up via meetup, you are still welcome to these events, just show up & check in with the organizers.
For more information check out these links:fast.ai home page: https://www.fast.ai/fastai forum: https://forums.fast.ai/PyTorch: https://pytorch.org/tutorials/beginner/blitz/cifar10_tutorial.htmlKeras: https://keras.io/TensorFlow: https://www.tensorflow.org/tutorials/images/deep_cnnChainer: https://github.com/chainer/chainer