The residency team is announcing the draft release of the IBM PowerAI: Deep Learning Unleashed on IBM Power Systems, SG24-8409 publication.
This IBM Redbooks publication targets technical readers including developers, IT specialist, systems architects, brand specialist, sales team, and anyone looking for a guide on how to understand IBM PowerAI Deep Learning ecosystem architecture, framework configuration, application and workload configuration, and end user infrastructure.
Chapter 1. Introduction to artificial intelligence (AI) and deep learning (DL)
Chapter 2. Introduction and overview of IBM PowerAI
Chapter 3. IBM PowerAI components
Chapter 4. Deploying IBM PowerAI
Chapter 5. Working with data and creating models in PowerAI
Chapter 6. Introduction to IBM Spectrum Conductor Deep Learning Impact (DLI)
Chapter 7. Case scenarios: Leveraging IBM PowerAI
Appendix A. Sentiment analysis code
Appendix B. Problem determination tools
This publication can be downloaded at the following website:
For more information about IBM PowerAI Deep Learning on IBM Power Systems, refer to the IBM PowerAI website:
Bruno C. Faria