Results 251 to 260 of about 134,020 (300)

Artificial Neural Networks and Deep Learning in the Visual Arts: A Review

Neural Computing and Applications, 2021
[Abstract]: In this article we make an intensive analysis of the use of Artificial Neural Network and Deep Learning in Visual Arts. We introduce the content on Artificial Intelligence over the years and examine in depth the latest work carried out in prediction, classi_cation, evaluation, generation, and identification through Artifiial Neural Networks
Adrián Carballal, Iria Santos, Alvaro Torrente-Patiño   +2 more
exaly   +3 more sources

Fundamentals of Artificial Neural Networks and Deep Learning [PDF]

, 2022
Abstract In 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.
Crossa, José, Osval Antonio Montesinos López, Abelardo Montesinos López   +2 more
exaly   +2 more sources

SciANN: A Keras/TensorFlow Wrapper for Scientific Computations and Physics-Informed Deep Learning Using Artificial Neural Networks

Computer Methods in Applied Mechanics and Engineering, 2021
© 2020 Elsevier B.V. In this paper, we introduce SciANN, a Python package for scientific computing and physics-informed deep learning using artificial neural networks.
Ehsan Haghighat, Ruben Juanes
exaly   +2 more sources

Some of the next articles are maybe not open access.

Related searches:

Deep Learning and Artificial Neural Networks

2020
Artificial neural networks is an important tool used in artificial intelligence and machine learning or deep learning. An example of their applications is to image recognition.
openaire   +2 more sources

Convolutional deep-learning artificial neural networks

Journal of Optical Technology, 2015
This paper discusses the history of the appearance and development of the concept of convolutional artificial neural networks, which, because they use a learning technology based on back-propagation of the error signal, have become one of the most efficient tools of automatic image classification.
openaire   +1 more source

Artificial Neural Networks and Deep Learning in Solid Organ Transplantation

Transplantation
Artificial neural networks are now used across many fields, from medicine to chatbots. However, they are often complicated and give “black-box” predictions. To better understand these models, we outline some of the terminology, provide example applications in solid organ transplantation, and offer recommendations for those interested in starting to use
Byron H, Smith, Aleksandar, Denic
openaire   +2 more sources