This is the Windows app named DeepLearnToolbox whose latest release can be downloaded as DeepLearnToolboxsourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
DeepLearnToolbox
DESCRIPTION:
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 Although it's been flagged as deprecated and no longer actively maintained, it is still used for educational and prototyping purposes.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
Programming Language
MATLAB
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/deeplearntoolbox.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.