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Small package for creating, training and saving neural network, written in pure Dart. Supports MLPs and CNNs.

2.0.1 #

  • Small fixes in README and comments

2.0.0 #

  • Fully rewritten logic based on new Tensors and new backpropagation logic (implicit linear computational graph)
  • Extended supported optimizers (with weight decay), layers, activation functions etc
  • This version is not compatible with previous ones

Some points that still needs to be worked upon:

  • progress bar for model training
  • model saving (now only Json is supported)
  • support for parallel computations, etc.

0.0.2+1 #

  • Assets update

0.0.2 #

  • Add implementation of Minibatch Gradient Descent
  • Change and update DNN logs and behavior

0.0.1+2 #

  • Mini update of code and format.

0.0.1 #

  • Initial version. Support DNN with Dense layers, SGD optimizer, variety of activations, and losses.
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Small package for creating, training and saving neural network, written in pure Dart. Supports MLPs and CNNs.

Repository (GitHub)
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License

BSD-3-Clause (license)

Dependencies

dolumns, loredart_tensor

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