DaNNet is a C++ deep neural network library using the Armadillo library as a base. It is intended to be a small and easy to use framework with no other dependencies than Armadillo. It uses independent layer-wise optimization giving you full flexibility to train your network.

Features

  • Layers: Input, Dense, Convolution, Pool, Batch norm, Dropout, Cost
  • Activations: Sigmoid, tanh, ReLU, LReLU, softplus, softmax
  • Independent layer-wise optimizations
  • Optimizers; SGD, Nesterov, ADAM, RMSprop, ADAdelta, ADAgrad, ADAmax
  • Regularizations: LASSO, ridge, elastic net
  • MNIST import support

Project Samples

MNIST Digits log

Project Activity

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Categories

Artificial Intelligence, Libraries, Research, Neural Network Libraries

License

Apache License V2.0

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Intended Audience

Advanced End Users, Developers, Information Technology, Science/Research

Programming Language

C++

Related Categories

C++ Artificial Intelligence Software, C++ Libraries, C++ Research Software, C++ Neural Network Libraries

Registered

2019-02-05
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