Explainability – a promising next step in scientific machine learning

With the emergence of deep neural networks, the question has arisen how machine learning models can be not only accurate but also explainable. In this article, you will learn more about explainability and what elements it consists of, and why we need expert knowledge to interpret machine learning results to...

AI Developer Tools, Blog

Jan

28,

2020

Deep Learning: Not only in Python

Although there are powerful and comprehensive machine learning solutions for the JVM with frameworks such as DL4J, it may be necessary to use TensorFlow in practice. This can, for example, be the case if a certain algorithm exists only in a TensorFlow implementation and the effort to port the algorithm...

Blog, ML & Deep Learning

Deep Learning with Java: Introduction to Deeplearning4j

May

2019

Deep Learning with Java: Introduction to Deeplearning4j

Deep learning is now often considered to be the "holy grail" when it comes to developing intelligent systems. While fully automatic and autonomous machine learning is on the way, current solutions still require the understanding of a software developer or engineer. Deep learning, by contrast, is a sub-discipline of machine...

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Explainability – a promising next step in scientific machine learning

Deep Learning: Not only in Python

Deep Learning with Java: Introduction to Deeplearning4j

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