Download
DeepLearnToolbox is a MATLAB / Octave toolbox for prototyping deep learning models. It provides implementations of feedforward neural networks, convolutional neural networks (CNNs), deep belief networks (DBNs), stacked autoencoders, convolutional autoencoders, and more. The toolbox includes example scripts for each method, enabling users to quickly experiment with architectures, training, and inference workflows. Although it's been flagged as deprecated and no longer actively maintained, it is still used for educational and prototyping purposes. Deep belief networks (DBN) and restricted Boltzmann machines (RBM). Example scripts demonstrating usage.
Features
- Implementation of multilayer perceptrons with backpropagation
- Convolutional neural networks (CNN) modules
- Deep belief networks (DBN) and restricted Boltzmann machines (RBM)
- Stacked autoencoder and convolutional autoencoder support
- Utility / helper functions for training, data loading, activation, cost, gradient
- Example scripts demonstrating usage
Project Samples
Categories
Machine LearningLicense
BSD LicenseFollow DeepLearnToolbox
Other Useful Business Software
$300 Free Credits to Build on Google Cloud
Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of DeepLearnToolbox!
