Machine Learning with Java • Deeplearning4j • Enrique Llerena Dominguez • Devoxx Poland 2021

In the last fewer years, we have seen a emergence in the request for artificial intelligence, and specifically device learning. For any people, getting to know this paradigm represents a double challenge: get acquainted with the device learning explanation plus learn a fresh programming language, but if you already know java and want to break into device learning, deeplearnig4j is for you!
In this talk, I will present deeplearning4j: what it is, its current state, its capabilities, possible integrations with another systems, and which are its pros and cons.I will besides show the approach to solve any common usage cases, like image classification and sentiment analysis, and how to export and deploy the trained model to production. All the code will be publically available for download.

Lecture took place on Thursday 26th August 2021 at 14:40 in area 2

Enrique is simply a well-rounded elder Software Engineer and Tech Lead at mimacom Deutschland GmbH. His communication skills and empathy enable him to collaborate effectively with interdisciplinary teams and to take the method leadership whenever it is required, even without an authoritative designation. From a method perspective, his focus is mainly on backend development, but he has besides frontend, DevOps, and cloud computing skills, as well as experience with the plan and documentation of the architecture of complex systems. He has worked with agile methodologies. He likes to invest time learning another technologies, e.g. device learning, and he likes presenting talks in conferences, which he has done in English, German and Spanish.

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