Innovations in Information and Communication Technology


Series: Innovations in Information and Communication Technology

Advanced Deep Learning with Python: To Design, Develop, and Enhance Advanced Neural Network Models

Suman Rajest S, Salvatore Moccia, Bhopendra Singh, Regin R (Editors)


Describes the advances of machine learning, guiding you through setting up with ICT frameworks.

Represents ICT based Framework for Data Science and Machine Learning real-life case studies and examples

Updated and expanded to reflect the latest developments, Statistical Methods for Survival Data Analysis and Machine Learning Applications


Table of contents

[10 chapters]

Advanced Deep Learning with Python: To Design, Develop, and Enhance Advanced Neural Network Models

Chapter001 - Chapter010


Entropy Analysis of a Dataset using Machine Learning Approach

Aakanksha Singhal and D.K. Sharma

Pages 001-021


Generalized Informative Discrimination Measure and Its Properties with Applications

D.K. Sharma and Sonali Saxena

Pages 022-033


Extracting Related Images from E-commerce Utilizing Supervised Learning

S. Suman Rajest, D.K. Sharma, R. Regin and Bhopendra Singh

Pages 034-046


The impact of ICTs on collaborative learning: A literature review

Nguyen Tan Hung

Pages 047-053


Bioinformatics in Microbial Biotechnology: A Genomics and Proteomics Perspective

Shashank Rana, Vartika Singh, Preeti and Nikunj Bhardwaj

Pages 054-069


Thermic Epidermic Tissue Surgical Generator Using Bipolar Electrode

K.S. Dhanalakshmi, A.Azhagu Jaisudhan Pazhani and R. Anusha Padmavathy

Pages 070-074


A global optimization technique for modeling and control of permanent magnet synchronous motor drive

Souvik Ganguli, Abhimanyu Kumar, Gagandeep Kaur, Prasanta Sarkar and S. Suman Rajest

Pages 075-083


Evolution of Management System Certification: An overview

Jappreet Kaur, Tejpal Singh Kochhar, Souvik Ganguli and S. Suman Rajest

Pages 084-095


IoT Enabled Cluster Based Energy Aware Routing Protocol In WSN

Steffi. R

Pages 096-105


Spatial Data Mining Methods Databases and Statistics Point of Views

R. Regin, S. Suman Rajest and Bhopendra Singh

Pages 106-112