Interpretability in Deep Learning - Alexander Horsch

Instant online reading.
Don't wait for delivery!
Go digital and save!

Interpretability in Deep Learning

By: Alexander Horsch, Dilip K. Prasad, Ayush Somani

Write A Review

Hardcover | 1 May 2023 | Edition Number 2023

At a Glance

Hardcover
466 Pages

Dimensions(cm)
16.1 x 24.2 x 3.4

Hardcover

$382.75

or 4 interest-free payments of $95.69 with

or

Ships in 15 to 25 business days

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.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.