Get Free Shipping on orders over $79
Interpretability in Deep Learning : Computer Science (R0) - Ayush Somani

Interpretability in Deep Learning

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

eText | 30 April 2023

At a Glance

eText


$259.01

or 4 interest-free payments of $64.75 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

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.

on
Desktop
Tablet
Mobile

More in Artificial Intelligence

HBR Guide to Generative AI for Managers : HBR Guide - Elisa Farri

eBOOK

AI-Powered Search - Trey Grainger

eBOOK

AI : The End of Human Race - Alex Wood

eBOOK