Federated Learning in research The federated learning performs very well to improve the site performance in multicenter deep learning without data sharing. The main objective of federated learning is to enable multi-institutional training without centralizing or sharing the physical data. In...
Graph Convolutional Networks (GCN) # Build Feed-Forward Graph Convolutional Networks (GCN) #Implementation using NetworkX and Numpy #Initializing the Graph G, Vertices V and node N import networkx as nx import numpy as np import matplotlib.pyplot as plt from scipy.linalg import fractional_matrix_power...
If “machine learning” seems like the start of a dismal dystopian future picture The Terminator meets The Matrix – then “Robotic Process Automation” must be the stage where machines rise up to control humanity with merciless efficiency. First and foremost, robotic...
A smart home is a smart environment that makes duties like cleaning, work, rest, and entertainment at home easier. Home intelligence, ubiquitous computing, ambient intelligence, and other notions associated with smart homes were popular in the early days. Home automation was...
Model building in machine learning using 8 steps In this article, we will study model building in machine learning using 8 simple steps. It is necessary to have basic knowledge and understanding to build a predictive model in python. Python is...
Powering Digital Economy with Artificial Intelligence in the new era Powering Digital Economy with Artificial Intelligence in the new era is very important in the business perspective as well as production center. The technologies are going even faster than in the...
Graph based neural network: The graph based neural network (GNN) work and to be building it up from the basics of message passing now the equation right now is a popular graph neural network known as a graph convolutional network or...
Patchify in python: When ever we used GAN or deep learning, we need small image size , it will be better to get god result. I have face this problem , when i was working with GAN , it give 400...
