The Backbone Of AI: Unscrambling The Basics

AI’s “backbone” increasingly means energy, infrastructure, and matrix math powering massive next-generation computing systems ...
The Tech Edvocate

How to create neural network

Spread the love“`html Understanding how to create a neural network can be a game-changer in the fields of artificial intelligence and machine learning. As industries increasingly rely on data-driven ...
TMCnet

Bridging Silence: A Real-Time Sign Language to English Text Translation System Using Python, OpenCV, and Convolutional Neural Networks

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...
Nature

Channel-spatial attention modules in convolutional neural networks for image classification

Many studies have established that the attention mechanism has great potential in improving the performance of Convolutional Neural Networks (CNNs) in image classification problems in recent years.
IEEE

A Convolutional Neural Network to Spiking Neural Network Conversion Framework for Seismic Denoising

Abstract: This study investigates the application of Spiking Neural Network (SNN) in seismic signal denoising by developing a Convolutional Neural Network (CNN) to SNN conversion framework. We focus ...
Nature

A lightweight adaptive image deblurring framework using dynamic convolutional neural networks

Image deblurring remains a fundamental challenge in computer vision, particularly for Lightweight models facing Limited input adaptability and inadequate global context modeling. This paper proposes a ...
Frontiers

Quantized convolutional neural networks: a hardware perspective

With the rapid development of machine learning, Deep Neural Network (DNN) exhibits superior performance in solving complex problems like computer vision and natural language processing compared with ...
LinkedIn

Coding a more complex Convolutional Neural Network in Python

The goal of this tutorial is to learn to design and code a more complex Convolutional Neural Network (CNN) in Python. In previous edition https://www.linkedin.com ...
InfoWorld

Air-gapped Python: Setting up Python without a net(work)

Installing Python and related applications on a system without a network connection isn’t easy, but you can do it. Here’s how. The vast majority of modern software development revolves around one big ...
IEEE

Multiscale Dynamic Weight-Based Mixed Convolutional Neural Network for Fault Diagnosis of Rotating Machinery

Abstract: Convolutional neural network (CNN) was widely applied to the data-driven-based fault diagnosis. However, it often needs to artificially transform the signal into a 2-D image with the help of ...
GitHub

convolution_neural_network.py

self, conv1_get, size_p1, bp_num1, bp_num2, bp_num3, rate_w=0.2, rate_t=0.2 :param conv1_get: [a,c,d], size, number, step of convolution kernel :param size_p1 ...