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

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

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

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

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

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

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

Deep Learning Model Definition Deep Learning Model Data Optimization Process Model Definition Deep Learning Model Data Optimization

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

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

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 https://github.com/sassoftware/python-dlpy 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

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

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