NUST Institutions Library Catalogue catalog › Details for: Addressing the Non-Differentiability in ReLU through a Smooth Polynomial Approximation to Enhance ReLU’s Performance in Image Classification Problems/

Normal view MARC view ISBD view

Addressing the Non-Differentiability in ReLU through a Smooth Polynomial Approximation to Enhance ReLU’s Performance in Image Classification Problems/ Janita Khan,

By: Khan, Janita Contributor(s): Supervisor: Dr. Zuhair Zafar Material type: Text

TextIslamabad; SEECS NUST; 2024Description: 98,p; ill; 30,cmSubject(s): MS- Computer ScienceDDC classification: 200 Online resources: Click here to access online

Tags from this library: No tags from this library for this title. Log in to add tags.

Item type	Current location	Home library	Shelving location	Call number	Status	Date due	Barcode	Item holds
Soft Copy	Central Library (CL)	Central Library (CL)	Thesis	200 (Browse shelf)	Available		CL-T-7263

Total holds: 0

Previous	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	Next
Previous	200 BYTES AND BULLETS Digital battle field between India and Pakistan/	200 From Controllers to Careers: Pakistan’s E-Sports Evolution/	200 A Framework for Integrating & Automating Organizational IT Governance, Risk and Compliance/	200 Addressing the Non-Differentiability in ReLU through a Smooth Polynomial Approximation to Enhance ReLU’s Performance in Image Classification Problems/	200 Anticipating The Stock Market Trend Using Natural Language Processing Techniques/	200 XAI in the Finance Sector: De-mystifying the Black-box AI/	200 An Automated Framework to Predict Environment, Social and Governance (ESG) ratings using Machine Learning/	Next

There are no comments on this title.

to post a comment.