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Fundamentals of Artificial Neural Networks and Deep Learning [PDF]

, 2022
AbstractIn this chapter, we go through the fundamentals of artificial neural networks and deep learning methods. We describe the inspiration for artificial neural networks and how the methods of deep learning are built. We define the activation function and its role in capturing nonlinear patterns in the input data.
JOSÉ Crossa, Abelardo Montesinos Lopez, Montesinos López Osval Antonio   +2 more
exaly   +2 more sources

From artificial neural networks to deep learning for music generation: history, concepts and trends [PDF]

Neural Computing and Applications, 2020
The current wave of deep learning (the hyper-vitamined return of artificial neural networks) applies not only to traditional statistical machine learning tasks: prediction and classification (e.g., for weather prediction and pattern recognition), but has already conquered other areas, such as translation. A growing area of application is the generation
Jean-Pierre Briot, Briot Jean-Pierre
exaly   +4 more sources

A Layer-Wise Theoretical Framework for Deep Learning of Convolutional Neural Networks

IEEE Access, 2022
As research attention in deep learning has been focusing on pushing empirical results to a higher peak, remarkable progress has been made in the performance race of machine learning applications in the past years.
Huu-Thiet Nguyen, Sitan Li, Chien Chern Cheah   +2 more
doaj   +1 more source

Convolutional Neural Network Technology in Endoscopic Imaging: Artificial Intelligence for Endoscopy [PDF]

Clinical Endoscopy, 2020
Recently, significant improvements have been made in artificial intelligence. The artificial neural network was introduced in the 1950s. However, because of the low computing power and insufficient datasets available at that time, artificial neural ...
Joonmyeong Choi, Keewon Shin, Jinhoon Jung, Hyun-Jin Bae, Do Hoon Kim, Jeong-Sik Byeon, Namku Kim   +6 more
doaj   +1 more source

Artificial neural networks and deep learning

American Journal of Orthodontics and Dentofacial Orthopedics
This chapter provides a comprehensive overview of Artificial Neural Networks (ANNs) and Deep Learning (DL), tracing their historical development, fundamental principles, and advanced architectures. Beginning with the foundational concepts of ANNs, including neuron structures, activation functions, and learning processes, the discussion extends to deep ...
Melvin Geubbelmans, Axel-Jan Rousseau, Tomasz Burzykowski, Dirk Valkenborg   +3 more
  +7 more sources

A Review of Deep Learning Algorithms and Their Applications in Healthcare

Algorithms, 2022
Deep learning uses artificial neural networks to recognize patterns and learn from them to make decisions. Deep learning is a type of machine learning that uses artificial neural networks to mimic the human brain. It uses machine learning methods such as
Hussein Abdel-Jaber, Disha Devassy, Azhar Al Salam, Lamya Hidaytallah, Malak EL-Amir   +4 more
doaj   +1 more source

Deep Learning and Artificial Neural Networks for Spacecraft Dynamics, Navigation and Control

Drones, 2022
The growing interest in Artificial Intelligence is pervading several domains of technology and robotics research. Only recently has the space community started to investigate deep learning methods and artificial neural networks for space systems.
Stefano Silvestrini, Michèle Lavagna
doaj   +1 more source

On the relationship between predictive coding and backpropagation.

PLoS ONE, 2022
Artificial neural networks are often interpreted as abstract models of biological neuronal networks, but they are typically trained using the biologically unrealistic backpropagation algorithm and its variants.
Robert Rosenbaum
doaj   +1 more source

Challenge of the performance management of trust control systems with deep learning

Advanced Engineering Research, 2022
Introduction. The significance of machine learning under the conditions of digital transformation of industry, and methods of implementing deep learning to provide the performance of trust management systems are considered.
A. A. Zelensky, T. K. Abdullin, M. M. Zhdanova, V. V. Voronin, A. A. Gribkov   +4 more
doaj   +1 more source

An Introduction to Neural Networks

Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2023
Neural networks ares an important type of machine learning that have generated significant interest due to their success on difficult problems.. This tutorial will provide an introduction and a high-level overview of artificial neural networks.
David Bisant
doaj   +1 more source