Deep Learning Toolbox: Comprehensive Implementation Guide
A versatile deep learning toolbox featuring implementations of CAE, CNN, DBN, NN, SAE architectures along with essential utility functions for model training and optimization
Explore MATLAB source code curated for "NN" with clean implementations, documentation, and examples.
A versatile deep learning toolbox featuring implementations of CAE, CNN, DBN, NN, SAE architectures along with essential utility functions for model training and optimization
Implementation and comparative analysis of indoor fingerprint localization algorithms including Nearest Neighbor (NN), K-Nearest Neighbors (KNN), and Weighted K-Nearest Neighbors (WKNN). The code is executable with comprehensive comments, featuring algorithm explanations and key function descriptions.
Complete MATLAB source code for Optical Character Recognition (OCR) system utilizing Neural Networks with comprehensive training algorithms and testing modules
MATLAB programs for deep learning toolbox featuring various algorithms including Neural Networks (NN), Convolutional Neural Networks (CNN), Autoencoders (CAE), Sparse Autoencoders (SAE), and Deep Belief Networks (DBN)
Implementation of neural network training for digital video recorder control with d-modification algorithm integration