1. SAS Deep Learning: From Toolkit to Fast Model Prototyping
Wayne Thompson
Andre Violante
SAS Data Science Technologies
Most of us are familiar with data scientists. It's the sexiest job title on the market today. They're data ninjas. They’re able to bend the data in ways that make it easy to work with. Data scientists are in high demand, and there aren't enough of them in the market. Many data scientists are highly trained, but may lack domain expertise. How do you bridge the gap between the analytics and the domain? Most organizations have a lot of analysts, report builders, or even SAS users who may not be specialized in the analytics. Analysts, report builders, and non-stat focused SAS users often have a tremendous amount of experience with the business.
Characteristics of a citizen data scientist:
Great with data
Dabbled in analytics, not classically trained statistician
Approachable analytics is the citizen data scientist’s perfect match

2. Agenda Deep Learning @SAS SAS Deep Learning Toolkit SAS DLPy
Demo & Closing Statements

3. Deep Learning Deep Learning More Compute Power More Complex Models
Larger Data Sets
Better Algorithms
Most of us are familiar with data scientists. It's the sexiest job title on the market today. They're data ninjas. They’re able to bend the data in ways that make it easy to work with. Data scientists are in high demand, and there aren't enough of them in the market. Many data scientists are highly trained, but may lack domain expertise. How do you bridge the gap between the analytics and the domain? Most organizations have a lot of analysts, report builders, or even SAS users who may not be specialized in the analytics. Analysts, report builders, and non-stat focused SAS users often have a tremendous amount of experience with the business.
Characteristics of a citizen data scientist:
Great with data
Dabbled in analytics, not classically trained statistician
Approachable analytics is the citizen data scientist’s perfect match

4. AI Use Cases 1 2 3 4 Person/Object Identification
Three-Dimensional Scans 1 2 3 4
Most of us are familiar with data scientists. It's the sexiest job title on the market today. They're data ninjas. They’re able to bend the data in ways that make it easy to work with. Data scientists are in high demand, and there aren't enough of them in the market. Many data scientists are highly trained, but may lack domain expertise. How do you bridge the gap between the analytics and the domain? Most organizations have a lot of analysts, report builders, or even SAS users who may not be specialized in the analytics. Analysts, report builders, and non-stat focused SAS users often have a tremendous amount of experience with the business.
Characteristics of a citizen data scientist:
Great with data
Dabbled in analytics, not classically trained statistician
Approachable analytics is the citizen data scientist’s perfect match
Traffic Surveillance
Insurance Claims

5. SAS Deep Learning Toolkit
Flexible Interfaces: CASL, Python, R, REST
Component of SAS® Visual Data Mining and Machine Learning
In Memory Computations with GPUs or CPUs
Easy Deployment of Big Models
Most of us are familiar with data scientists. It's the sexiest job title on the market today. They're data ninjas. They’re able to bend the data in ways that make it easy to work with. Data scientists are in high demand, and there aren't enough of them in the market. Many data scientists are highly trained, but may lack domain expertise. How do you bridge the gap between the analytics and the domain? Most organizations have a lot of analysts, report builders, or even SAS users who may not be specialized in the analytics. Analysts, report builders, and non-stat focused SAS users often have a tremendous amount of experience with the business.
Characteristics of a citizen data scientist:
Great with data
Dabbled in analytics, not classically trained statistician
Approachable analytics is the citizen data scientist’s perfect match

6. SAS DL Compute Platform
Most of us are familiar with data scientists. It's the sexiest job title on the market today. They're data ninjas. They’re able to bend the data in ways that make it easy to work with. Data scientists are in high demand, and there aren't enough of them in the market. Many data scientists are highly trained, but may lack domain expertise. How do you bridge the gap between the analytics and the domain? Most organizations have a lot of analysts, report builders, or even SAS users who may not be specialized in the analytics. Analysts, report builders, and non-stat focused SAS users often have a tremendous amount of experience with the business.
Characteristics of a citizen data scientist:
Great with data
Dabbled in analytics, not classically trained statistician
Approachable analytics is the citizen data scientist’s perfect match

7. SAS Deep Learning Model Types
Feedforward Neural Networks
Autoencoder Neural Networks
Yolo
ResNet
VGG
LeNet
Recurrent Neural Networks
LSTM
GRU
Deep
Neural Networks
Convolutional Neural Networks
Most of us are familiar with data scientists. It's the sexiest job title on the market today. They're data ninjas. They’re able to bend the data in ways that make it easy to work with. Data scientists are in high demand, and there aren't enough of them in the market. Many data scientists are highly trained, but may lack domain expertise. How do you bridge the gap between the analytics and the domain? Most organizations have a lot of analysts, report builders, or even SAS users who may not be specialized in the analytics. Analysts, report builders, and non-stat focused SAS users often have a tremendous amount of experience with the business.
Characteristics of a citizen data scientist:
Great with data
Dabbled in analytics, not classically trained statistician
Approachable analytics is the citizen data scientist’s perfect match

8. Deep Learning Model Definition Deep Learning Model Data Optimization
Process
Model
Definition
Deep Learning
Model
Data
Optimization

9. SAS Deep Learning Capabilities
Tabular
Sequence
Time Series
Image
Audio
Text
Batch Norm
Concatenate
Convolution
Fully Connected
Pooling
Projection
Recurrent
Reshape
Residual
Scale
Keypoints
Detection
VGG
DenseNet
ResNet
Yolo v1
Yolo v2
Vanilla RNN
LSTM
GRU
Bidirectional RNN
Regression
Classification
Forecasting
Auto-encoder
Object Detection
Keypoints Detection
Speech-to-Text
Sequence labeling
Text generation
Most of us are familiar with data scientists. It's the sexiest job title on the market today. They're data ninjas. They’re able to bend the data in ways that make it easy to work with. Data scientists are in high demand, and there aren't enough of them in the market. Many data scientists are highly trained, but may lack domain expertise. How do you bridge the gap between the analytics and the domain? Most organizations have a lot of analysts, report builders, or even SAS users who may not be specialized in the analytics. Analysts, report builders, and non-stat focused SAS users often have a tremendous amount of experience with the business.
Characteristics of a citizen data scientist:
Great with data
Dabbled in analytics, not classically trained statistician
Approachable analytics is the citizen data scientist’s perfect match

10. Deploying SAS DL Model Train Score Score Automated Response
ETL
Automated Response
Train
Score
Enrich
Store
Score
Most of us are familiar with data scientists. It's the sexiest job title on the market today. They're data ninjas. They’re able to bend the data in ways that make it easy to work with. Data scientists are in high demand, and there aren't enough of them in the market. Many data scientists are highly trained, but may lack domain expertise. How do you bridge the gap between the analytics and the domain? Most organizations have a lot of analysts, report builders, or even SAS users who may not be specialized in the analytics. Analysts, report builders, and non-stat focused SAS users often have a tremendous amount of experience with the business.
Characteristics of a citizen data scientist:
Great with data
Dabbled in analytics, not classically trained statistician
Approachable analytics is the citizen data scientist’s perfect match

11. Introducing DLPy
SAS Deep Learning Python API
High-level, open source, deep learning and image processing Python API
Enables fast prototyping and experimentation on deep neural networks
Ability to import Keras and Caffe models
DLPy
Image Processing
Convolutional Neural Networks
Recurrent Neural Networks
Time Series Forecasting
Object Detection
Deep Neural Networks
Text
Audio
SAS Cloud Analytic Services (CAS)
Most of us are familiar with data scientists. It's the sexiest job title on the market today. They're data ninjas. They’re able to bend the data in ways that make it easy to work with. Data scientists are in high demand, and there aren't enough of them in the market. Many data scientists are highly trained, but may lack domain expertise. How do you bridge the gap between the analytics and the domain? Most organizations have a lot of analysts, report builders, or even SAS users who may not be specialized in the analytics. Analysts, report builders, and non-stat focused SAS users often have a tremendous amount of experience with the business.
Characteristics of a citizen data scientist:
Great with data
Dabbled in analytics, not classically trained statistician
Approachable analytics is the citizen data scientist’s perfect match

12. DLPy Demo
Most of us are familiar with data scientists. It's the sexiest job title on the market today. They're data ninjas. They’re able to bend the data in ways that make it easy to work with. Data scientists are in high demand, and there aren't enough of them in the market. Many data scientists are highly trained, but may lack domain expertise. How do you bridge the gap between the analytics and the domain? Most organizations have a lot of analysts, report builders, or even SAS users who may not be specialized in the analytics. Analysts, report builders, and non-stat focused SAS users often have a tremendous amount of experience with the business.
Characteristics of a citizen data scientist:
Great with data
Dabbled in analytics, not classically trained statistician
Approachable analytics is the citizen data scientist’s perfect match

13. Questions
Most of us are familiar with data scientists. It's the sexiest job title on the market today. They're data ninjas. They’re able to bend the data in ways that make it easy to work with. Data scientists are in high demand, and there aren't enough of them in the market. Many data scientists are highly trained, but may lack domain expertise. How do you bridge the gap between the analytics and the domain? Most organizations have a lot of analysts, report builders, or even SAS users who may not be specialized in the analytics. Analysts, report builders, and non-stat focused SAS users often have a tremendous amount of experience with the business.
Characteristics of a citizen data scientist:
Great with data
Dabbled in analytics, not classically trained statistician
Approachable analytics is the citizen data scientist’s perfect match