Deep Learning : : Research and Applications / / ed. by Siddhartha Bhattacharyya, Vaclav Snasel, Aboul Ella Hassanien, Satadal Saha, B. K. Tripathy.

• Superior document: Title is part of eBook package: De Gruyter DG Ebook Package English 2020
• MitwirkendeR: Adate, Amit,; Arya, Dhruv,; Bhattacharyya, Siddhartha,; Bose, Ankita,; Bose, Mahua,; Das, Swagatam,; Dey, Shatabhisa,; Goswami, Soumyajit,; Jana, Ranjan,; Maheshwari, Karan,; Mali, Kalyani,; Mukherjee, Anirban,; Rajasekaran, Rajkumar,; Saha, Rajib,; Sarkar, Avik,; Shaha, Aditya,; Tripathy, B. K.,; Tripathy, B.K.,
• HerausgeberIn: Bhattacharyya, Siddhartha,; Ella Hassanien, Aboul,; Saha, Satadal,; Snasel, Vaclav,; Tripathy, B. K.,
• Place / Publishing House: Berlin ;, Boston : : De Gruyter, , [2020]; ©2020
• Year of Publication: 2020
• Language: English
• Series: De Gruyter Frontiers in Computational Intelligence , 7
• Physical Description: 1 online resource (IX, 152 p.)

This book focuses on the fundamentals of deep learning along with reporting on the current state-of-art research on deep learning. In addition, it provides an insight of deep neural networks in action with illustrative coding examples. Deep learning is a new area of machine learning research which h...

Table of Contents

• Frontmatter
• Preface
• Contents
• List of Contributors
• 1 Deep Learning – A State-of-the-Art Approach to Artificial Intelligence
• 2 Convolutional Neural Networks: A Bottom-Up Approach
• 3 Handwritten Digit Recognition Using Convolutional Neural Networks
• 4 Impact of Deep Neural Learning on Artificial Intelligence Research
• 5 Extraction of Common Feature of Dysgraphia Patients by Handwriting Analysis Using Variational Autoencoder
• 6 Deep Learning for Audio Signal Classification
• 7 Backpropagation Through Time Algorithm in Temperature Prediction
• Index