GitHub

SamagraSP/Neural-Network-Exercises

A collection of deep learning projects demonstrating the implementation of Artificial Neural Networks (ANNs) and Convolutional Neural Networks (CNNs) for classification tasks. These exercises cover ...
Eos

Comparing Machine Learning Models of Raindrop Formation

Better simulations of raindrop formation could help improve climate and weather models. This newsletter rocks. Get the most ...
Communications of the ACM

Can We Understand How Large Language Models Reason?

Large language models can write essays, solve math problems, and generate computer code, but it’s not fully understood how ...
GitHub

Benymean/Image-Classification-Multi-class-Weather-Dataset

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
Frontiers

Multi-QuadEmoNet: cat and dog emotion classification model from animal vocalization using multi-stage LSTM-GRU paradigm

Purrai was a neural network forming the base of Very Large Convolutional Neural Network (VGGNet) and helps in classifying nine various cat sounds. At the secondary level, the cat’s emotion (as ...
Frontiers

NephroNet: a calibration-aware, patient-disjoint benchmark for multiclass kidney CT classification with a compact depthwise-separable CNN

Methods: A patient-disjoint, group-stratified hold-out benchmark is established for four-class kidney CT classification (Normal, Cyst, Tumor, Stone) on a 12,446-image multicenter cohort, and NephroNet ...
IEEE

Emerging Smart Computing and Informatics (ESCI), Conference on

The use of satellite imagery to classify scenes is of high importance in environment monitoring, surveillance, and in analyzing the scenes with other intentions for different functions. The recent ...