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Deep Learning for Numerical Applications with SAS
book

Deep Learning for Numerical Applications with SAS

by Henry Bequet
July 2018
Intermediate to advanced content levelIntermediate to advanced
234 pages
6h 5m
English
SAS Institute
Content preview from Deep Learning for Numerical Applications with SAS

Chapter 8: Deep Learning for Numerical Applications in the Enterprise

Enterprise Applications

A Task

Data

Task Implementation

A Simple Flow

A Training Flow Task

An Inference Flow

Documentation

Heterogeneous Architectures

Collaboration with Federated Areas

Deploying DL with Federated Areas

Conclusions

 

In this chapter, we package the code that we have developed in the previous chapter using an enterprise-class many-task computing (MTC) platform (SAS Infrastructure for Risk Management). We make extensive use of the concepts that we presented in Chapter 4 and Chapter 5, so it might be a good idea to make sure that you are familiar with the material in those chapters before reading this one.

Enterprise Applications

The main goal of an enterprise ...

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Publisher Resources

ISBN: 9781635266771