Deep Learning Algorithms

ISBN-13: 9781774691830 / Angielski / Twarda / 2021 / 408 str.

Zoran Gacovski

Spis treści

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