Description

Neural network on GML!

Functions:

  • nn_create() - create neural netork, return id

  • nn_destroy(id) - destroy neural network

  • nn_add_neuron(id) - create new neuron in current network

  • nn_get_output(id, input_list) - launch neural network and return list with output

  • nn_train_train(id, train_id) - train neural network

  • nn_get_neuron_number(id) - return number of neurons in network

  • train_create() - create information for training neural networks, return train_id

  • train_add_input(train_id, val, val, ...) or train_add_input_list(train_id, input_list) - add input signals for training

  • train_add_output(train_id, val, val, ...) or train_add_output_list(train_id, output_list) - add desired signals for comparison

  • train_destroy(id) - destroy current train

Some examples inside.

This is simple single-layer perceptron, I hope this example will help many people to understand that neural network is easy.

( Don't forget to rate :D )

End User Licence Agreement (EULA).

Age Rating: 4+

Version

GMS1 - Version 1.0.0. Published February 17, 2017

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