nait 2.0.0

Easy neural networks

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Nait

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Neural network module

Made to be easy and fast

Network - class

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Syntax

Network()

train - method

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Syntax

train(x, y, layer_size, layers, activation_function, learning_rate, epochs, backup)

Arguments

• x list --- training inputs

• y list --- training outputs

• layer_size integer --- number of neurons in hidden layers

• layers integer --- if the time when logged should be displayed in the message

• activation_function string --- function applied to the output of each layer (linear / relu / step / sigmoid / leaky_relu)

• learning_rate float --- how fast the network learns (faster learning may result in lower precision)

• epochs integer --- number of epochs the network should train for

• backup string --- file to backup network while training (if left blank or set to None the network will not backup)

predict - method

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Syntax

predict(input)

Arguments

• input list --- input

save - method

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Syntax

save(file)

Arguments

• file string --- file to save network to

load - method

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Syntax

load(file)

Arguments

• file string --- file to load network from

evaluate - method

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Syntax

evaluate(x, y)

Arguments

• x list --- testing inputs

• y list --- testing outputs

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Nait v2.0.0 - Change Log

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• Complete re-write

• Added more network structure customization

• Added activation functions

• Added network backup

• Added ability to have multiple saved networks in the same folder

• Added ability to save / load networks from files

• Added evaluation function

• Added customizable training speed

• Improved training algorithm

• Improved training speed

• Changed training display

• Removed automatic saving after training

• Removed having to load each function

• Removed numpy dependency

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