IEEE

Anomaly Detection in Network Traffic for Proactive Security Threat Identification Using Improved Gated Recurrent Unit

Anomaly detection in network traffic determines the unusual patterns which diverge from normal behavior by representing potential system faults and security threats. It assists in identifying ...
Frontiers

Neural Network Dynamics: Unraveling Spiking and Synaptic Plasticity in Learning and Memory

Neuroscience continually strives to unravel the intricate relationship between neural network morphology, spiking dynamics, and their resulting functional ...
IEEE

Multi-Dimensional Recurrent Neural Networks Hyperspectral image classification

Abstract: Classifying hyperspectral images (HSIs) is a top priority for the remote sensing field. Discriminative feature extraction of HSI using conventional ML techniques is difficult because of the ...
Learn With Jay on MSN

Backpropagation through time explained for RNNs

In this video, we will understand Backpropagation in RNN. It is also called Backpropagation through time, as here we are ...