|Explainable AI (Springer)|
|Wednesday, 06 November 2019|
With the subtitle, "Interpreting, Explaining and Visualizing Deep Learning" the 22 chapters in this book provide a snapshot of algorithms, theory, and applications of interpretable and explainable AI and AI techniques that have been proposed recently reflecting the current discourse in this field and providing directions of future development. The book is organized in six parts: towards AI transparency; methods for interpreting AI systems; explaining the decisions of AI systems; evaluating interpretability and explanations; applications of explainable AI; and software for explainable AI.
Authors/Editors: Wojciech Samek, Grégoire Montavon, Andrea Vedaldi, Lars Kai Hansen, and Klaus-Robert Muller
For more Book Watch just click.
Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.
To have new titles included in Book Watch contact BookWatch@i-programmer.info