Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics

ISBN-13: 9780367466633 / Angielski / Twarda / 2021 / 204 str.

R. Sujatha; S. L. Aarthy; R. Vettriselvan

Opis

Data science revolves around two giants, which are big data analytics and deep learning. It is becoming challenging to handle and retrieve useful information due to how fast data is expanding. This book presents the technologies and tools to simplify and streamline the formation of big data along with deep learning systems.

Spis treści

1. A Study on Big Data and Artificial Intelligence Techniques in Agricultural Sector 2. Deep Learning Models for Object Detection in Self-Driven Cars 3. Deep Learning for Analyzing the Data on Object Detection and Recognition 4. Emerging Applications of Deep Learning 5. Emerging Trend and Research Issues in Deep Learning with Cloud Computing 6. An Investigation of Deep Learning 7. A Study and Comparative Analysis of Various Use Cases of NLP Using Sequential Transfer Learning Techniques 8. Deep Learning for Medical Dataset Classification Based on Convolutional Neural Networks 9. Deep Learning in Medical Image Classification 10 A Comparative Review of the Role of Deep Learning in Medical Image Processing