CNNs power image recognition — this beginner-friendly guide breaks it all down without the jargon. #CNN #DeepLearning #ComputerVision ...

Engineered tin dioxide nanosensors combined with deep learning enable precise gas classification, improving detection in ...

This project provides an interactive demonstration of CNN-JEPA (Convolutional Neural Network Joint-Embedding Predictive Architecture), a PhD-level Artificial Machine Intelligence (AMI) that showcases ...

To address this, we propose a shallow convolutional neural network (CNN)-Transformer hybrid architecture that limits the maximum downsampling rate to 8×. This design preserves local details while ...

Our model leverages a multi-branch convolutional neural network (CNN) architecture, incorporating the Hippopotamus Optimization (HO) algorithm and multiclass support vector machines (SVMs) for ...

A Convolutional Neural Network (CNN) built with TensorFlow/Keras to classify handwritten digits from the popular MNIST dataset. This project demonstrates the basic workflow of building, training, and ...