Research Paper On Basic of Artificial Neural Network
(PDF) Supervised learning with spiking neural networks
(PDF) Advanced Applications of Neural Networks and Artificial
Graph Structure of Neural Networks
A survey research summary on neural networks by IJRET Editor
Introduction To Artificial Neural Network By Zurada Pdf Printer
VIDEO
Neural Network: Models of artificial neural netwok
Neural Network For School Students
An Animated Research Talk on: Neural-Network Quantum Field States
Introduction
Neural Network Diffusion
[short] Reawakening knowledge: Anticipatory recovery from catastrophic interference
COMMENTS
Graph neural networks: A review of methods and applications
The gated graph neural network (GGNN) ( Li et al., 2016) is proposed to release the limitations of GNN. It releases the requirement of function f to be a contraction map and uses the Gate Recurrent Units (GRU) in the propagation step. It also uses back-propagation through time (BPTT) to compute gradients.
IMAGES
VIDEO
COMMENTS
The gated graph neural network (GGNN) ( Li et al., 2016) is proposed to release the limitations of GNN. It releases the requirement of function f to be a contraction map and uses the Gate Recurrent Units (GRU) in the propagation step. It also uses back-propagation through time (BPTT) to compute gradients.