Build Fully Connected Neural Networks with SAS Studio Tasks and SAS Viya
Brian Gaines shows you how you can use the tasks in SAS Studio to quickly develop code for estimating a fully connected neural network with the power of SAS Viya. After providing a brief background on neural networks and the example data set, he uses the Neural Network task to fit a neural network without writing any code. Then he demonstrates how you can use a feature from SAS called autotuning that helps you find good values for your neural network's architecture and hyperparameters in order to improve model performance. Together, the Neural Network task and autotuning enable you to easily develop code for effectively building a traditional neural network model. Content Outline 0:15 – Neural networks resemble the brain 1:00 – Example – Predict disease progression in diabetes patients 1:35 – Demo: Neural Network task 5:01 – Demo: Autotuning Related Resources ◉ SAS Studio Support – https://support.sas.com/en/software/studio-support.html ◉ SAS Studio: Task Reference Guide – https://go.documentation.sas.com/?activeCdc=webeditorcdc&cdcId=sasstudiocdc&cdcVersion=5.1&docsetId=webeditorref&docsetTarget=titlepage.htm&locale=en ◉ Communities: SAS Studio – https://communities.sas.com/t5/SAS-Studio/bd-p/sas_studio Learn More about SAS Software ◉ SAS Studio – https://www.sas.com/en_us/software/studio.html ◉ SAS Visual Data Mining and Machine Learning – https://www.sas.com/en_us/software/visual-data-mining-machine-learning.html SUBSCRIBE TO THE SAS USERS YOUTUBE CHANNEL #SASUsers #LearnSAS https://www.youtube.com/SASUsers?sub_confirmation=1 ABOUT SAS SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change. CONNECT WITH SAS SAS ► https://www.sas.com SAS Customer Support ► https://support.sas.com SAS Communities ► https://communities.sas.com SAS Analytics Explorers ► https://explorers.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► https://www.linkedin.com/company/sas Blogs ► https://blogs.sas.com RSS ► https://www.sas.com/rss