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 ...
IEEE

A pseudo-multi-task neural network classification model for cropland mapping in mountainous areas using high-resolution remote sensing images

Abstract: This paper presents a Pseudo-Multi-Task Segmentation Neural Network (PMTNet) for cropland mapping in mountainous regions using high-resolution remote sensing images. PMTNet extends BsiNet by ...
Nature

SPCNNet: spiking point cloud neural network for morphological neuron classification

Morphological neuron classification helps to reveal the functional characteristics and information transmission mechanisms of the nervous system. However, existing methods that use geometric feature ...
SlashGear

8 Affordable Phone Carriers That Use Verizon's Network, Ranked By Price

Much of the United States is covered by Verizon's cell phone coverage map. Depending on where you live, Verizon could be the best service available in your area. The network has 5G coverage in every ...
Nature

Attribution-based interpretable classification neural network with global and local perspectives

Neural networks are challenging to apply in domains requiring high reliability due to their black-box nature, and researchers are increasingly focusing on interpreting neural networks. While pursuing ...
Phys.org

Multisynapse optical network outperforms digital AI models

Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds and lower energy use than traditional electronics. But despite their potential, ...
IEEE

Behavioral Classification of Sequential Neural Activity Using Time Varying Recurrent Neural Networks

Abstract: Shifts in data distribution across time can strongly affect early classification of time-series data. When decoding behavior from neural activity, early detection of behavior may help in ...
Frontiers

High-accuracy lung sound classification for healthy versus unhealthy diagnosis using artificial neural network

In recent years, advancements in machine learning and electronic stethoscope technology have enabled high-precision recording and analysis of lung sounds, significantly enhancing pulmonary disease ...
Frontiers

Automated classification of midpalatal suture maturation using 2D convolutional neural networks on CBCT scans

Accurate assessment of midpalatal suture (MPS) maturation is critical in orthodontics, particularly for planning treatment strategies in patients with maxillary transverse deficiency (MTD). Although ...
LinkedIn

Harnessing the Power of Pretrained Models for Flower Classification

Hello LinkedIn network! I am thrilled to share with you a fascinating project I recently completed - a flower classification model using PyTorch and a pretrained model. This project has been an ...
C&EN

TorchANI: A Free and Open Source PyTorch-Based Deep Learning Implementation of the ANI Neural Network Potentials

This paper presents TorchANI, a PyTorch-based program for training/inference of ANI (ANAKIN-ME) deep learning models to obtain potential energy surfaces and other physical properties of molecular ...
LinkedIn

Neural Networks in Classification & Clustering

Neural networks can be highly efficient for classification (a form of supervised learning) and clustering (a form of unsupervised learning) tasks. For example, a neural network can be trained to ...