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Traffic Sign Recognition with TensorFlow Deep Learning

May 22, 2017 @ 6:30 pm - 8:45 pm

Speaker 
Waleed Abdulla
Entrepreneur, software engineer, deep learning consultant.
https://github.com/waleedka
https://www.linkedin.com/in/waleedka/

Agenda 
6:30 – 7:00 audience arrives, registers, network, pizza
7:00 – 7:10 ACM announcements, pass mic to audience for DS hiring or announce other events, introduce speaker
7:10 – 8:30ish presentation

Event Details 
1) Go through the simplest possible model (1 neuron per traffic sign) and then iteratively improve it, showing the effect of each improvement on the accuracy of the neural network.
For background, read part 1 of his related blog post before the meetup:
https://medium.com/@waleedka/traffic-sign-recognition-with-tensorflow-629dffc391a6 This has a Jupyter notebook using Python 3.5 and TensorFlow 0.12. There is also a Docker image if you prefer.

2) Cover multi-layer models and convolutional networks, to get near human level accuracy.

Details

Date:
May 22, 2017
Time:
6:30 pm - 8:45 pm
Event Category:
Website:
https://www.meetup.com/SF-Bay-ACM/events/240032108/

Organizer

SF Bay ACM Chapter
Website:
https://www.meetup.com/SF-Bay-ACM/

Venue

Pivotal Labs
3495 Deer Creek Rd Palo Alto, CA 94304
Palo Alto, CA US
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