Misha Bilenko, Alexey Kamenev, Ye Xing. This talk provides an overview of deep learning, a powerful family of models and algorithms that construct meaningful representations from low-level features, yielding state-of-the-art performance for many prediction tasks in vision and speech. Following a refresher of machine learning and neural network basics, we will go through a series of fun yet instructive demonstrations of deep learning on vision tasks, and showcase how it can be used in Cortana Analytics. Go to https://channel9.msdn.com/ to find the recording of this session.

4. • Weighted bias
f
𝒇1 𝑾 𝟏 𝒃 𝟏
𝒇2 𝑾 𝟐 𝒃 𝟐 1
w1 w2 w3 wn b
4

5. weights biases
5
1
w1 w2 w3 wn b

9. 1 hidden layer, fully connected net: 2 hidden layers, fully connected net:

10. Convolutional layer: Max pooling layer:
Multiple bundles:

15. 28
26
16
11
7.4
4.52
0
5
10
15
20
25
30
2010 2011 2012 2013 2014 2015
ImageNet top-5 error (%)
Top-5 error

16. [Krizhevsky, Sutskever,Hinton, 2012]

19. Azure Machine Learning Service
Data -> Predictive model -> Operational web API in minutes
Blobs and Tables
Hadoop (HDInsight)
Relational DB (Azure SQL DB)
Data Clients
Model is now a
web service that
is callable
Monetize the API
through our
marketplace
API
Integrated development
environment for Machine Learning