Deep Learning with Yacine on MSN

20 Activation Functions in Python for Deep Neural Networks – ELU, ReLU, Leaky-ReLU, Sigmoid, Cosine

Explore 20 different activation functions for deep neural networks, with Python examples including ELU, ReLU, Leaky-ReLU, ...
Deep Learning with Yacine on MSN

Highway Networks – Deep Neural Network Explained

Explore Highway Networks, a neural network architecture designed to improve training of deep networks. Concepts and examples ...
Frontiers

Formal Verification of Neural Networks-Based Control Architecture for Safety-Critical Autonomous Systems

for example, when these systems operate in a close vicinity of humans. Furthermore, as these systems and the environment where they operate become more and more complex, the traditional control design ...
eLife

Elucidating the Selection Mechanisms in Context-Dependent Computation through Low-Rank Neural Network Modeling

This study provides an important set of analyses and theoretical derivations to understand the mechanisms used by recurrent neural networks (RNNs) to perform context-dependent accumulation of evidence ...
PNAS

Parallel trade-offs in human cognition and neural networks: The dynamic interplay between in-context and in-weight learning

The neural networks dominating AI in recent years have achieved a remarkable level of behavioral flexibility, in part due to their capacity to learn new tasks from only a few examples. These ...
Frontiers

Graph neural network-based water contamination detection from community housing information

Introduction: Detecting water contamination in community housing is crucial for protecting public health. Early detection enables timely action to prevent waterborne diseases and ensures equitable ...
Scientific Research Publishing

Efficient Identification Method of Interbeds Based on Neural Network Combined with Grey Relational Analysis

1 School of Earth Science and Engineering, Xi’an Shiyou University, Xi’an, Shaanxi, China. 2 Shaanxi Provincial Key Laboratory of Petroleum Accumulation Geology, Xi’an, Shaanxi, China. The storage ...
IEEE

Finite-Time Synchronization of Complex-Valued Neural Networks With Infinite Delays: A Criterion and Examples

Abstract: This paper discusses finite-time synchronization of complex-valued neural networks (CVNNs) with infinite delays. By utilizing non-separation approach, analytical strategy, and inequality ...