Deep Learning Lightning Talk
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Deep Learning Lightning Talk 1 Deep Learning State-of-the-art, powerful way to do machine learning Keynote Template
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Transcript of Deep Learning Lightning Talk
Deep Learning Lightning Talk 1
Deep LearningState-of-the-art, powerful way to do machine learning
Keynote Template
Deep Learning Lightning Talk 2
Our goal: Build awesome data products
User activity, business data, images, text, audio…
Big Data technologies: Hadoop, Spark, Hive, Pig, Storm, Impala…
Extract meaning from data and incorporate it into product: predicion, analytics, recommendations
!Technology
!Data
!Machine Learning
Deep Learning Lightning Talk 3
!
Machine Learning
Machine Learning
There are tons of different machine learning algorithms for different problems
Unsupervised methods: Customer segmentation (clustering), dataset visualisation, dimensionality reduction
⊞
Supervised methods: Predictions, classifications. Example product: spam filtering
⊞
Recommendations, anomaly detection… !
⊞
Deep Learning Lightning Talk 4
Difficult problems
Image Recognition
"
Speech Recognition
♫
Natural Language Processing
$
Deep Learning Lightning Talk 5
Breakthrough: Deep Learning
And now it works ;)
Deep Learning Lightning Talk 6
Examples
! Skype Translator ! Google+ Photo Tagging
http://www.youtube.com/watch?v=eu9kMIeS0wQ
+ Voice recognition in Android 4.0+, Apple’s Siri, Baidu’s Image Search, and more…
Deep Learning Lightning Talk 7
A bit of theory
Deep Learning is a „bigger and badder” approach to neural networks, which are known since 80’
y= g(x ⊗ W)
Deep Learning Lightning Talk 7
A bit of theory
Deep Learning is a „bigger and badder” approach to neural networks, which are known since 80’
y= g(x ⊗ W)
Deep Learning Lightning Talk 7
A bit of theory
Deep Learning is a „bigger and badder” approach to neural networks, which are known since 80’
y= g(x ⊗ W)
Deep Learning Lightning Talk 7
A bit of theory
Deep Learning is a „bigger and badder” approach to neural networks, which are known since 80’
y= g(x ⊗ W)
Now we have much more computing power to train large (and deep) networks
⊞
Now we know better regularization and optimization methods
⊞
Now we have much more labeled data ⊞
Now we can also train models with unlabeled data
⊞
Deep Learning Lightning Talk 8
Why it works?
Let’s consider the problem of face recognition
That’s how we see it
0.2 0.0 0.1 1.0 1.0 0.1 0.4 0.8 1.0 ... 0.1 That’s how „machine” sees it
Deep Learning Lightning Talk 9
Why it works?
It’s much easier to infer that something is a face based on that it has two eyes and nose, than it has some black pixels in lower left corner, and white area somewhere in the middle
Deep Learning Lightning Talk 10
A bit of practice
GPU Cluster
Deep Learning Lightning Talk 11
A bit of practice
GPU
Numerical operations are very efficient, up to 100x faster than CPU
⊞
Single machine, no communication overhead⊞
Significant memory contraints, we can’t train larger models
⊟
Deep Learning Lightning Talk 12
A bit of practice
TASK
one learning task, many workers different parameters for each worker
PICK BEST MODEL Netflix style!
GPUWORKER 1 WORKER 2 WORKER 3 WORKER 4
Deep Learning Lightning Talk 13
A bit of practice
Cluster
Deep Learning Lightning Talk 13
A bit of practice
Cluster
WO
RKER
2
WO
RKER
1
WO
RKER 3
WO
RKER 4
+ ASYNCHRONOUS PARAMETERS SERVER
Google style!
Deep Learning Lightning Talk 14
A bit of practice
Cluster
We can train much larger and more powerful models
⊞
Scalable⊞
Poor resource utlization, even if we restrict connectivity
⊟
Complicated⊟
Deep Learning Lightning Talk 15
Hype
NETFLIX MOVES INTO DEEP LEARNING RESEARCH TO IMPROVE PERSONALIZATION
10 BREAKTHROUGH TECHNOLOGIES 2013GIGAOM GUIDE TO DEEP LEARNING:
WHO’S DOING IT AND WHY IT MATTERS
NYU „DEEP LEARNING” PROFESSOR LECUN WILL HEAD FACEBOOK’S NEW ARTIFICIAL INTELLIGENCE LAB
Geoffrey Hinton Leading researcher in DL, his startup
was acquired by Google
Lookflow Deep Learning image startup,
acquired by Yahoo
DeepMind Deep Learning startup, acquired by
Google for 400 mln USD
Yan LeCun Leading researcher in DL, hired by
Facebook to lead new AI lab.
Deep Learning Lightning Talk 16
Geoffrey Hinton Leading researcher in DL, his startup
was acquired by Google
Lookflow Deep Learning image startup,
acquired by Yahoo
DeepMind Deep Learning startup, acquired by
Google for 400 mln USD
Yan LeCun Leading researcher in DL, hired by
Facebook to lead new AI lab.
Hype
Deep Learning Lightning Talk 17
It’s not a silver bullet
It’s difficult. Sometimes it’s better to use simpler method."
#
Nevertheless, it’s a very powerful technique, has attention of biggest IT companies and brings us closer to real artificial intelligence
It requires substantial computing power and memory. Sometimes it’s not feasible to use deep learning models, especially if we have to train them regularly
!It’s kind of `black-box` Sometimes we can’t draw conclusions from learned features
!
:)THANKS
RESOURCESMOOC: Neural Networks for Machine Learning
& https://www.coursera.org/course/neuralnets
DL Tutorials + sample code& http://deeplearning.net/
Google+ Deep Learning Community& https://plus.google.com/u/0/communities/112866381580457264725
Deep Learning Book by Yoshua Bengio (draft)& http://www.iro.umontreal.ca/~bengioy/dlbook/
Deep Learning Libraries & Software& http://deeplearning.net/software_links/
