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Published 4 years ago • verified publishervxern.dev• Latest: 0.5.0
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A simple-to-grasp, complete and fully documented Neural Network library, written from scratch in Dart.

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0.4.2+1 #

  • Updated package description.

0.4.2 #

  • Updated sprint version from 1.0.0+1 to 1.0.2+3.
  • Replaced the now discontinued pedantic with the words lint ruleset.
  • Reversed the order of versions in CHANGELOG.md from ascending to descending.

0.4.1+1 #

  • Refactored code.
  • Removed logger.dart in favour of the sprint package.

0.4.1 #

  • Updated documentation.

0.4.0 #

  • Organised code.
  • Replaced network types such as feed-forward or deep feed-forward with a single class Sequential.
  • Moved focus from Network to Layer, so that different layers can be added to a Network, rather than creating new types of networks, and limiting the user to a preset model.
  • Updated example.dart and README.md.

0.3.2 #

  • Added a simple feed-forward network model.

0.3.1 #

  • Added 5 new activation functions: SeLU, Softplus, Softsign, Swish and Gaussian.
  • Renamed the 'logistic' function to 'sigmoid'.
  • Created function abs() for obtaining the absolute value of a variable.

0.3.0 #

  • Updated documentation of Logger, Backpropagation and ValueGenerator.
  • Created /examples directory with a file example.dart that displays the network being used to recognise the number '5'.

0.2.5 #

  • Renamed 'Multilayer Perceptron' to 'Deep Feed-Forward', since 'deep feed-forward' is broader as a concept than 'multi-layer perceptrons'.

0.2.4 #

  • Updated documentation of activation.dart, having added explanations for the different activation functions.

0.2.3 #

  • Updated documentation of Network.
  • Replaced process() in Layer with an output getter, simplifying the method of getting each Neuron's output.

0.2.2 #

  • Updated documentation of Layer and removed a chunk of dead code.

0.2.1 #

  • Removed the feed-forward network and simple perceptrons in favour of an upcoming simpler implementation of networks, through the use of a single network model.
  • Added [learningRate] as a parameter, and removed the hard-coded value of 0.2.
  • Updated documentation of Neuron.

0.2.0 #

  • Added a feed-forward network and simple perceptrons.
  • Added LReLU, eLU and tanh activation functions.
  • Renamed 'sigmoid' to 'logistic'.

0.1.1 #

  • Added README.md and updated formatting.

0.1.0 #

  • Implemented a multilayer perceptron and a basic algorithm for backpropagation.

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verified publishervxern.dev

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Metadata

A simple-to-grasp, complete and fully documented Neural Network library, written from scratch in Dart.

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sprint

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