AI with Java, top libraries, and trends
Track
Methodologies & Tools
Date and time
Tuesday, 17. May 2022., 10:50
Room
Hall A
Duration
45'
An introduction about how to set up some of the most common java machine learning libraries. The potential applications and how each library fares in an enterprise environment. What kind of community or support is behind these libraries, licensing and more.
Libraries:
- DL4J
- Tensorflow
- Smile (Statistical Machine Intelligence and Learning Engine)
- DJL(AWS Labs)
Lecture details
About speaker
Peter Abel Nagy, author
Peter is a senior software engineer at EPAM Systems Switzerland. He has extensive experience in java enterprise software development. Last year he was given the Delivery Excellence award for extraordinary technical contribution with valuable results, an exemplary demonstration of Engineering Excellence, and outstanding performance. Peter has a passion for AI development and researches the topic as his bobby.