Explainable AI with Python
Di Cecco Antonio
9783030686390
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| Author(s) :- Di Cecco Antonio | Format :- Paperback |
| Publisher :- Springer Nature Switzerland AG | Pub. Date :- 2021-04-09 |
| ISBN-13 :- 9783030686390 | |
| Edition:- 1st ed. 2021 | |
| Pagination :- 204 pages, 103 Illustrations, color; 16 Illustrations, black and white; VIII, 204 p. 119 illus., 103 | |
| Dimensions :- 235 x 155 | |
| New ISBN:- 9783031922282 |
Description
Model-agnostic methods for XAI are shown to produce explanations without relying on ML models internals that are opaque. Using examples from Computer Vision, the authors then look at explainable models for Deep Learning and prospective methods for the future.
