..:: BİLGİ VADİSİ ::.. - Interpretability in Deep Learning

Description:

Alıntı:

This book is a comprehensive curation, exposition and illustrative discussion of recent research tools for interpretability of deep learning models, with a focus on neural network architectures. In addition, it includes several case studies from application-oriented articles in the fields of computer vision, optics and machine learning related topic.

The book can be used as a monograph on interpretability in deep learning covering the most recent topics as well as a textbook for graduate students. Scientists with research, development and application responsibilities benefit from its systematic exposition.

Kod:

https://nitroflare.com/view/DDBEC95224450FF/

Kod:

https://rapidgator.net/file/67d09bc2b208e00f8fdc744606681112/