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Deep Learning Architecture and Applications

As one of the fastest-growing topics in machine learning, deep learning algorithms have achieved unprecedented success in recent years. Novel paradigms (such as contrastive learning and few-shot learning) in deep learning and rising neural network architectures (e.g., transformer and masked autoenco...

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Bibliographic Details
Main Author: Zhang, Xiang
Other Authors: Li, Xiaoxiao
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
Benchmark
Machine Learning
Constitutive Behavior
Physics Informed Neural Network
Grc15
Non-linear Oscillators
Convolutional Neural Network (cnn)
Shapley Values
Synthetic Data
Finite Element Method
Data Augmentation
Capsule Network
Deep Learning
Source Code Comments
Fourier Neural Operator
Tricalcium Silicate
Small-shape Data
Text Generation
Anova
Dissolution Kinetics
Image-text Matching
Long Short-term Memory Network
Pooling
Unsupervised Learning
Defect Detection For X-ray Images
Surface Defect Detection
Compressive Measurement Matrix
Reinforcement Learning
Information Technology Industries / Bicssc
Generalised Additive Models
Abaqus Explicit
Massive Mimo
Image Analysis
Hybrid Beamforming
Convolutional Neural Networks
Transformer Encoder
Ion Activity
Computer Vision
Natural Language Processing
Prognostics
Nearest Neighbours
Uplift Modelling
Crop/weed Classification
Lithium-ion Battery
Deep Forest
Acute Myeloid Leukemia
Speech Enhancement
Dynamic Force Identification
Risk Factors
Analytical Model
Benzene
Cyclic Learning
Forecasting
Image Processing
Defect Recognition
Human Evaluation
Plausibility Checks
Arima
Generative Adversarial Networks
Self-explaining Neural Networks
Vuhard
Lstm
Radial Return Algorithm
Simulation
Storm Surge
Control Tokens
Feature Extraction
Cheapfakes
Misinformation
Siamese Networks
Transfer Learning
Residual Echo Suppression
Deep-learning
Summarization
Graph Neural Network
Photoacoustic Imaging
Hurricane
Spring Mass Damper System
Computer Science / Bicssc
Ann Flow Law
Bioimage Analysis
Sensitivity Analysis
Routing Algorithm
Defect Detection
Variational Autoencoder
Machine Learning Techniques
Finite Element Simulation
Cnn
Subsurface Fluid Flow
Long Short-term Memory
Acoustic Echo Cancellation
Rogpt2
Duffing’s Equation
Numerical Implementation
Classification
Convolutional Neural Network
Average Treatment Effect
Reconstruction
Single Cell Cultivation
Interpretability
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:As one of the fastest-growing topics in machine learning, deep learning algorithms have achieved unprecedented success in recent years. Novel paradigms (such as contrastive learning and few-shot learning) in deep learning and rising neural network architectures (e.g., transformer and masked autoencoder) are dramatically changing the field of data-driven algorithms. More importantly, deep learning models are redefining the next generation of industrial applications spanning image recognition, speech processing, language translation, healthcare, and other sciences. For example, recent advances in deep representation learning are allowing us to learn about protein 3D structures, which sheds new light on fundamental medicine and biology along with potentially bringing in billions of dollars (e.g., in the pharmaceutical market). This collection gathers the advanced studies of novel deep learning algorithms/frameworks and their applications in real-world scenarios. The topics cover, but are not limited to, supervised learning, explainable deep learning, finance, healthcare, and sciences.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (406 p.)
ISBN:9783036588308
9783036588315
books978-3-0365-8831-5

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