Results 61 to 70 of about 129,225 (287)
Advanced Science, EarlyView.An entity‐centric foundation model, GloPath, is introduced for comprehensive glomerular lesion assessment from routine renal biopsy images. Trained on over one million glomeruli, the framework enables robust lesion recognition, grading, and cross modality diag nosis, while uncovering large‐scale clinicopathological associations.
Qiming He +28 more
wiley +1 more source
Frontiers in Computational Neuroscience, 2022 Backpropagation (BP) has been used to train neural networks for many years, allowing them to solve a wide variety of tasks like image classification, speech recognition, and reinforcement learning tasks.
Yoshimasa Kubo +2 more
doaj +1 more source
Unsupervised Domain Adaptation by Backpropagation [PDF]
, 2015 Top-performing deep architectures are trained on massive amounts of labeled data. In the absence of labeled data for a certain task, domain adaptation often provides an attractive option given that labeled data of similar nature but from a different ...
Ganin, Yaroslav, Lempitsky, Victor
core
Mild Focal Cooling Decouples Dendrites to Reconfigure Cortical Output
Advanced Science, EarlyView.Mild cooling of the cortical surface selectively modulates apical dendritic excitability, plasticity, and somato‐dendritic coupling, while uncoupling these effects from basal dendrites, and reshapes apical‐driven responses in barrel cortex during whisker touch.
Meisam Habibi Matin +2 more
wiley +1 more source
Advanced Science, EarlyView.This study reports on the physical implementation of optical material‐based neural processing using long‐persistent luminescence as memory‐retention and nonlinear optical material. The system performs optical‐domain preprocessing with opto‐electronic interfaces for stimulus delivery and readout, enabling real‐time demonstrations including Pong gameplay
Sangwon Wi, Yunsang Lee
wiley +1 more source
Analysis of Backpropagation Algorithm in Predicting the Most Number of Internet Users in the World
JOIN: Jurnal Online Informatika, 2019 The Internet today has become a primary need for its users. According to market research company e-Marketer, there are 25 countries with the largest internet users in the world.
Sunil Setti, Anjar Wanto
doaj +1 more source
, 2009 We report an inter-comparison of some popular algorithms within the artificial neural network domain (viz., Local search algorithms, global search algorithms, higher order algorithms and the hybrid algorithms) by applying them to the standard ...
A. Bora +38 more
core +1 more source
Backpropagation-Friendly Eigendecomposition
CoRR, 2019 Eigendecomposition (ED) is widely used in deep networks. However, the backpropagation of its results tends to be numerically unstable, whether using ED directly or approximating it with the Power Iteration method, particularly when dealing with large matrices.
Wei Wang 0108 +4 more
openaire +3 more sources
Ferroelectric Devices for In‐Memory and In‐Sensor Computing
Advanced Science, EarlyView.Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang +5 more
wiley +1 more source
A Biologically Plausible Learning Rule for Deep Learning in the Brain [PDF]
, 2018 Researchers have proposed that deep learning, which is providing important progress in a wide range of high complexity tasks, might inspire new insights into learning in the brain. However, the methods used for deep learning by artificial neural networks
Bohté, Sander +2 more
core +2 more sources