AI Saturdays (AI6) Seattle


#1

Welcome to AI Saturdays in Seattle!
You can also find us in some of your favorite social networks:


#4

Seattle AI Saturdays (AI6) Schedule
December 2017-April 2018

December 30th 2018 (Starbucks)
Meet and Greet

January 6th 2018 (Seattle Central College)
Session 1: Fast.ai Lesson 1
Session 2: Overview of Deep Learning
Session 3: Word Vector Representations:word2vec

January 13 2018
Postponed

January 20th 2018 (CodeFellows)
Session 1: Fast.ai Lesson 2
Session 2: Harmonic Analysis of CNNs
Session 3: Advanced Word Vector Representations

January 27th 2018 (CodeFellows)
Session 1: Fast.ai Lesson 3
Session 2: CovNets from First Principles
Session 3: Word Window Classication and Neural Networks

February 3 2018 (CodeFellows)
Session 1: Fast.ai Lesson 4
Session 2: When Can Deep Networks Avoid the Curse of Dimensionality & Other Theoretical Puzzles
Session 3: Backpropogation

February 10 2018 Break (CodeFellows is unavailable)

February 17 2018 (CodeFellows)
Session 1: Fast.ai Lesson 5
Session 2: Views on Deep Networks from Reproducing Kernel Hilbert Spaces
Session 3: Dependency parsing

February 24 2018
Session 1: Fast.ai Lesson 6
Session 2: Understanding & Improving Deep Learning with Random Matrix Theory
Session 3: Recurrent Neural Networks and Language Models

March 3 2018 (CodeFellows)
Session 1: Fast.ai Lesson 7
Session 2: Topology & Geometry of Half-rectied Network Optimization
Session 3: Machine Translation and Advanced Recurrent LSTMs and GRUs

March 10 2018 (CodeFellows)
Session 1: Fast.ai Lesson 8
Session 2: What’s Missing From Deep Learning?
Session 3: Neural Machine Translation and Models with Attention

March 17 2018 (CodeFellows)
Session 1: Fast.ai Lesson 9
Session 2: Stat385 Lecture 10 Readings – Convolutional Neural Networks in View of Sparse Coding
Session 3: Gated Recurrent Units and Further Topics in NMT

March 24 2018 (CodeFellows)
Session 1: Fast.ai Lesson 10
Session 2: Stat385 Extra Readings Part 1
Session 3: Convolutional Neural Networks

March 31 2018 (CodeFellows)
Session 1: Fast.ai Lesson 11
Session 2: Stat385 Extra Readings Part 2
Session 3: Tree Recursive Neural Networks and Constituency Parsing

April 7 2018 (CodeFellows)
Session 1: Fast.ai Lesson 12
Session 2: Bayesian Deep Learning
Session 3: Coreference Resolution

April 14 2018 (CodeFellows)
Session 1: Fast.ai Lesson 13
Session 2: Bayesian Deep Learning
Session 3c: Dynamic Neural Networks for Question Answering

April 21 2018 (CodeFellows)
Session 1: Projects
Session 2: Deep Learning Security
Session 3: Issues in NLP and Possible Architectures in NLP

April 28 2018 (CodeFellows)
Session 1: Projects
Session 2: Deep Learning Security
Session 3: Tackling the Limits of Deep Learning for NLP

This is the schedule for the first cycle.

In following cycles, we will repeat the Fast.ai course for Session 1 to onboard newcomers, but we will tackle a different topic area for session 3.

We plan to kick off a second Seattle session in September.