Transparency and Interpretability for Learned Representations of Artificial Neural Networks is popular PDF and ePub book, written by Richard Meyes in 2022-11-26, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Transparency and Interpretability for Learned Representations of Artificial Neural Networks can be Read Online from any device for your convenience.
Transparency and Interpretability for Learned Representations of Artificial Neural Networks Book PDF Summary
Artificial intelligence (AI) is a concept, whose meaning and perception has changed considerably over the last decades. Starting off with individual and purely theoretical research efforts in the 1950s, AI has grown into a fully developed research field of modern times and may arguably emerge as one of the most important technological advancements of mankind. Despite these rapid technological advancements, some key questions revolving around the matter of transparency, interpretability and explainability of an AI’s decision-making remain unanswered. Thus, a young research field coined with the general term Explainable AI (XAI) has emerged from increasingly strict requirements for AI to be used in safety critical or ethically sensitive domains. An important research branch of XAI is to develop methods that help to facilitate a deeper understanding for the learned knowledge of artificial neural systems. In this book, a series of scientific studies are presented that shed light on how to adopt an empirical neuroscience inspired approach to investigate a neural network’s learned representation in the same spirit as neuroscientific studies of the brain.
Detail Book of Transparency and Interpretability for Learned Representations of Artificial Neural Networks PDF
- Author : Richard Meyes
- Release : 26 November 2022
- Publisher : Springer Nature
- ISBN : 9783658400040
- Genre : Computers
- Total Page : 230 pages
- Language : English
- PDF File Size : 7,7 Mb
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