Buch, Englisch, 408 Seiten, Hardback, Format (B × H): 152 mm x 229 mm
Buch, Englisch, 408 Seiten, Hardback, Format (B × H): 152 mm x 229 mm
ISBN: 978-1-77469-183-0
Verlag: Arcler Press
This book covers different topics from deep learning algorithms, including: methods and approaches for deep learning, deep learning applications in biology, deep learning applications in medicine, and deep learning applications in pattern recognition systems. Section 1 focuses on methods and approaches for deep learning, describing advancements in deep learning theory and applications - perspective in 2020 and beyond; deep ensemble reinforcement learning with multiple deep deterministic policy gradient algorithm; dynamic decision-making for stabilized deep learning software platforms; deep learning for hyperspectral data classification through exponential momentum deep convolution neural networks; and ensemble network architecture for deep reinforcement learning. Section 2 focuses on deep learning applications in biology, describing fish detection using deep learning; deep learning identification of tomato leaf disease; deep learning for plant identification in natural environment; and applying deep learning models to mouse behavior recognition. Section 3 focuses on deep learning applications in medicine, describing application of deep learning in neuroradiology: brain hemorrhage classification using transfer learning; a review of the application of deep learning in brachytherapy; exploring deep learning and transfer learning for colonic polyp classification; and deep learning algorithm for brain-computer interface. Section 4 focuses on deep learning applications in pattern recognition systems, describing application of deep learning in airport visibility forecast; hierarchical representations feature deep learning for face recognition; review of research on text sentiment analysis based on deep learning; classifying hand written digits with deep learning; and bitcoin price prediction based on deep learning methods.
Autoren/Hrsg.
Weitere Infos & Material
Section 1: Methods and Approaches for Deep Learning - Chapter 1 Advancements in Deep Learning Theory and Applications: Perspective in 2020 and Beyond
- Chapter 2 Deep Ensemble Reinforcement Learning With Multiple Deep Deterministic Policy Gradient Algorithm
- Chapter 3 Dynamic Decision-Making For Stabilized Deep Learning Software Platforms
- Chapter 4 Deep Learning For Hyperspectral Data Classification Through Exponential Momentum Deep Convolution Neural Networks
- Chapter 5 Ensemble Network Architecture for Deep Reinforcement Learning
Section 2: Deep Learning Techniques Applied in Biology - Chapter 6 Fish Detection Using Deep Learning
- Chapter 7 Can Deep Learning Identify Tomato Leaf Disease?
- Chapter 8 Deep Learning For Plant Identification In Natural Environment
- Chapter 9 Applying Deep Learning Models to Mouse Behavior Recognition
Section 3: Deep learning Applications in Medicine - Chapter 10 Application of Deep Learning in Neuroradiology: Brain Hemorrhage Classification Using Transfer Learning
- Chapter 11 A Review of the Application of Deep Learning in Brachytherapy
- Chapter 12 Exploring Deep Learning and Transfer Learning for Colonic Polyp Classification
- Chapter 13 Deep Learning Algorithm For Brain-Computer Interface
Section 4: Deep Learning in Pattern Recognition Tasks - Chapter 14 The Application of Deep Learning In Airport Visibility Forecast
- Chapter 15 Hierarchical Representations Feature Deep Learning For Face Recognition
- Chapter 16 Review of Research on Text Sentiment Analysis Based on Deep Learning
- Chapter 17 Classifying Hand Written Digits With Deep Learning
- Chapter 18 Bitcoin Price Prediction Based on Deep Learning Methods
