Search
Search Results
-
Deep Learning Foundations and Concepts
This book offers a comprehensive introduction to the central ideas that underpin deep learning. It is intended both for newcomers to machine learning...
-
Deep Learning Networks Design, Development and Deployment
This textbook presents multiple facets of design, development and deployment of deep learning networks for both students and industry practitioners....
-
Deep Learning and Computational Physics
The main objective of this book is to introduce a student who is familiar with elementary math concepts to select topics in deep learning. It...
-
Deep Learning and Computational Physics
The main objective of this book is to introduce a student who is familiar with elementary math concepts to select topics in deep learning. It...
-
Interpretable deep learning methods for multiview learning
BackgroundTechnological advances have enabled the generation of unique and complementary types of data or views (e.g. genomics, proteomics,...
-
Topic- and learning-related predictors of deep-level learning strategies
The aim of this study was to examine which topic- and learning-related knowledge and motivational beliefs predict the use of specific deep-level...
-
Deep learning in rheumatological image interpretation
Artificial intelligence techniques, specifically deep learning, have already affected daily life in a wide range of areas. Likewise, initial...
-
Deep Learning
In this chapter, we discuss advanced deep learning algorithms focusing on their application and impact in the field of machine learningMachine...
-
A comparative analysis of deep learning and deep transfer learning approaches for identification of rice varieties
Rice is an essential staple food for human nutrition. Rice varieties worldwide have been planted, imported, and exported. During production and...
-
Deep Learning Models A Practical Approach for Hands-On Professionals
This book focuses on and prioritizes a practical approach, minimizing theoretical concepts to deliver algorithms effectively. With deep learning...
-
Deep Learning Foundations
This book provides a conceptual understanding of deep learning algorithms. The book consists of the four parts: foundations, deep machine learning,...
-
Distributed Deep Reinforcement Learning: A Survey and a Multi-player Multi-agent Learning Toolbox
With the breakthrough of AlphaGo, deep reinforcement learning has become a recognized technique for solving sequential decision-making problems....
-
Comparative Analysis of Machine Learning, Ensemble Learning and Deep Learning Classifiers for Parkinson’s Disease Detection
A progressive neurodegenerative ailment called Parkinson's disease (PD) is marked by the death of dopamine-producing cells in the substantia nigra...
-
Research trends in deep learning and machine learning for cloud computing security
Deep learning and machine learning show effectiveness in identifying and addressing cloud security threats. Despite the large number of articles...
-
Deep Learning
Deep Learning orientiert sich am Modell des Gehirns. Das menschliche Gehirn besteht Schätzungen zufolge aus 86 Mrd. Nervenzellen und sehr vielen...
-
A systematic review on machine learning and deep learning techniques in the effective diagnosis of Alzheimer’s disease
Alzheimer’s disease (AD) is a brain-related disease in which the condition of the patient gets worse with time. AD is not a curable disease by any...
-
Deep Learning
In the ever-evolving field of accounting research, the integration of cutting-edge technologies has become increasingly crucial to gain insights from...
-
Deep learning for water quality
Understanding and predicting the quality of inland waters are challenging, particularly in the context of intensifying climate extremes expected in...
-
Integrating QSAR modelling and deep learning in drug discovery: the emergence of deep QSAR
Quantitative structure–activity relationship (QSAR) modelling, an approach that was introduced 60 years ago, is widely used in computer-aided drug...
-
Exploring the connection between deep learning and learning assessments: a cross-disciplinary engineering education perspective
It is widely accepted that student learning is significantly affected by assessment methods, but a concrete relationship has not been established in...
