synadart 0.3.2

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

Version 0.1.0

• Added Multi-layer Perceptron and a basic algorithm for backpropagation

Version 0.1.1

• Added README.md, updated formatting

Version 0.2.0

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

Version 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

Version 0.2.2

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

Version 0.2.3

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

Version 0.2.4

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

Version 0.2.5

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

Version 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'.

Version 0.3.1

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

Version 0.3.2

• Added simple feed-forward network model