Explore MATLAB source code curated for "卷积神经网络" with clean implementations, documentation, and examples.
MATLAB implementation of handwritten Chinese character recognition using convolutional neural networks, capable of classifying 509 character categories including common and rare characters
MATLAB implementation of Convolutional Neural Network (CNN) with detailed source code, including layer configurations and training algorithms
Convolutional Neural Network Algorithm featuring an example implementation scalable to large datasets with code-specific architectural insights
This project offers a MATLAB class implementation of Convolutional Neural Networks (CNNs), originally developed by Yann LeCun. The implementation demonstrates practical applications including handwritten digit recognition, face detection, and robot navigation through layered architecture with convolution, pooling, and fully connected layers.
This program implements the Convolutional Neural Network (CNN) algorithm for deep learning, featuring separate training and testing modules with comprehensive functionality for model development and evaluation.
First, extract data features using convolutional neural networks, then perform classification using Support Vector Machines (SVM)
Implementation of Convolutional Neural Networks in MATLAB for Image Feature Extraction
deepLearnToolbox-master is a comprehensive deep learning package for MATLAB containing various machine learning algorithms including Convolutional Neural Networks (CNN), Deep Belief Networks (DBN), and AutoEncoders (Stacked SAE, Convolutional CAE). The package was developed by Rasmus Berg Palm.
This MATLAB implementation of a CNN convolutional neural network achieves approximately 50% accuracy in handwritten digit recognition, with cnet_tool.m serving as the main demonstration file showcasing dataset loading, model training, and performance evaluation processes.
Deep learning application using convolutional neural networks for character recognition - a well-structured program implementation.