This document discusses TensorFlow.rb, a Ruby wrapper for TensorFlow that allows Ruby programmers to use TensorFlow for machine learning tasks. It summarizes Jason Toy's background in machine learning and Ruby, describes common machine learning problems and algorithms, provides an overview of deep learning compared to traditional machine learning, and details the status and goals of the TensorFlow.rb project. The document encourages contributors to the open source project and thanks current contributors.

1. TENSORFLOW.RB
TENSORFLOW AND RUBY
by Jason Toy

2. PRESENTATION
machine learning
deep learning
tensors
tensorflow
tensorflow.rb

3. MY BACKGROUND - JASONTOY
my passion is general artificial intelligence - studied math and computer
science
generalists, program a little of everything, master of nothing
ruby and rails since 2005; machine learning since 2008
founded a couple of companies: rubynow, socmetrics - using ML and ruby
CEO of filepicker; not much ruby
exploring the intersection of machine learning,art, entrepreneurship

4. REGRESSION

5. CLASSIFIER

6. OTHER ML PROBLEMS
search/ranking
reinforcement learning / realtime learning
dimensionality reduction
grouping/clustering
generative models

7. TRADITIONAL ML ALGORITHMS
naive bayes
LDA
decision trees
ensemble methods
KNN
SVM
random forest
linear/logistic
regression
PCA

8. DEEP LEARNINGVSTRADITIONAL
MACHINE LEARNING
mostly automated feature extraction

9. DEEP LEARNINGVSTRADITIONAL
MACHINE LEARNING
much better at learning nonlinear relationships

10. DEEP LEARNING NEURONS

11. DEEP LEARNING ALGORITHMS

12. DEEP LEARNING ARCHITECTS

13. GENERATIVE DEEP MODELS
tweak-able output w/ tensors

14. DEEP DREAMING / INCEPTION

15. ]
?{;.
/ΠK
;

16. I ACCIDENTALLY GAVETHE ANIMAL
BACK OF MY HEAD , BREATHING
DEEPLY .THERE WAS NO DOUBT IN
HER EYES ,AND I COULDTELL BY
THE LOOK ON HIS FACETHAT HE
DID N'T APPROVE OF WHAT WAS
HAPPENINGTO ME . IN FACT , IT
MUST HAVE BEEN ONE OFTHOSE
RARE OCCASIONS ,AS WELL AS A
PET ANIMAL . HER SCENT FILLED
THE AIR .THAT 'S WHAT SHE WAS
LOOKING FOR ,AND NOW SHE
HADTO STAY AWAKE LONG
ENOUGHTO DIG UPTHE LEASH

17. TENSORFLOW AND TENSORS

18. TENSORS
[ 1.000e+00 ,2.000e+00, 3.000e+00, 4.000e+00, 5.000e+00,
6.000e+00, 7.000e+00 ] #1st order tensor
[[1,123,323,21312,312312],[2,32,12313,123]] #2nd order tensor
nth order tensors

19. TENSORFLOW IS AN OPEN SOURCE
SOFTWARE LIBRARY FOR NUMERICAL
COMPUTATION USING DATA FLOW GRAPHS

20. TENSORFLOW HISTORY
2nd generation at Google
initial release
predecessors
~5 releases
slow….getting faster
many research firms groups using it. DeepMind just moved to it

21. HIGHLEVEL GOALS
simple / works out of the box
GPU / CPU
easy deploy
write once, deploy everywhere
distributed training

22. TENSORFLOW INTERNALS
DAG
typed: ints, multiple floating points, strings, etc
symbolic
client/master sessions
automatic gradient computation

23. TENSORFLOW DATAFLOW

24. TENSORFLOW OPERATIONS

25. TENSORFLOW.RB

26. PEOPLE WANT IT
https://github.com/tensorflow/tensorflow/issues/50
70+ comments; 40+ followers

27. WHY RUBY
ruby community are innovative and creative
ruby,rails, gems,sequel,eventmachine,nokogiri,……
chance for the ruby community to enter the ML/DL era

28. MACHINE LEARNING AND RUBY
NOW
results = `python model_inference.py #{safe_params}`
results = RestClient.get(“http://somatic.io/model/call”,params)

29. TENSORFLOW + SWIG

30. SWIG
SWIG is a software development tool that connects programs
written in C and C++ with a variety of high-level programming
languages.
20+ languages
ruby SWIG projects: libSVM, liblinear, any big ones?

31. HTTPS://GITHUB.COM/
SOMATICIO/TENSORFLOW.RB

32. GET STARTED

33. TENSORFLOW.RB

34. TENSORFLOW.RB

36. CURRENT STATUS
2-3 months away from stable
port more code
need help with protocol buffers
more tutorials
clean up API to match tensorflowISMs and rubyISMs
more tests

37. LOOKING FOR CONTRIBUTORS
open source! BSD licensed (Tensorflow is Apache licensed)
6 contributors now
great way to do a deep dive into deep learning :)
learn tensorflow internals

38. LOOKING FOR CONTRIBUTORS

39. SPECIALTHANKS
sciruby
Arafat Khan
somatic.io
Khor SoonHin
Sameer Deskmukh
all other contributors

40. –John Dewey
“Every great advance in science has issued from a new
audacity of imagination.”
code: https://github.com/somaticio/tensorflow.rb
Jason Toy
jason@somatic.io
http://somatic.io
@jtoy
QUESTIONS?