synadart 0.5.0

A limited but fully documented neural network library created for educational purposes.

0.5.0

• Update licence bearer and links.
• Bump dependencies.
• Bump the SDK version to 3.0.0.
• BREAKING: Remove the sprint dependency, which is inappropriate for a package of this kind. Replaced logging with documented exceptions.

0.4.5

• Relicensed from GPLv3 to MIT.

0.4.4

• Update SDK version from 2.12.0 to 2.17.0.
• Updated project description to make it more accurate in describing what synadart actually is.

0.4.3

• Bumped version of sprint from 1.0.2+3 to 1.0.3.
• Updated repository, homepage and issue tracker links.
• Refactored and made formatting and style changes to bring the project up to par.

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.