synadart 0.3.0
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Published 4 years ago •

vxern.dev• Latest: 0.5.0

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Library for creating neural networks, with a purely Dart implementation.

0.1.0 #

Added Multi-layer Perceptron and a basic algorithm for backpropagation

0.1.1 #

Added README.md, updated formatting

0.2.0 #

Added FF ( feedforward ) and simple Perceptron networks
Added LReLU, eLU and tanh activation function
Renamed 'sigmoid' to 'logistic' function

0.2.1 #

Removed FF ( feedforward ) and simple Perceptron networks in favour of an upcoming simpler implementation of basically the same idea, through just one network model.
Added [learningRate] as a parameter, and removed the hard-coded value of 0.2.
Organised the files slightly
Updated documentation of Neuron

0.2.2 #

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

0.2.3 #

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

0.2.4 #

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

0.2.5 #

Renamed Multilayer Perceptron to Deep Feed-forward, which should be a more fitting and future-proof name.

0.3.0 #

Updated documentation of Logger, Backpropagation and ValueGenerator.
Created examples folder with a recognise_5 example that allows for recognition of the number '5'.

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Library for creating neural networks, with a purely Dart implementation.

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