Welcome to BasicNeuralNetwork’s documentation!

This is a python backend for the neural_network package.

Contents

• Components
  • Network
    • Network.__init__()
    • Network._activate_output_layer()
    • Network._calculate_pre_activated_value()
    • Network.back_propagate_bias()
    • Network.back_propagate_weight()
    • Network.forward_pass_one_datapoint()
    • Network.get_edges()
    • Network.get_layers()
    • Network.get_neuron_counts()
    • Network.is_regressor()
    • Network.store_gradient_of_loss()
    • Network.visualise_network()
• Data Generators
  • NormalDataGenerator
    • NormalDataGenerator.__init__()
    • NormalDataGenerator._generate_data()
  • UniformDataGenerator
    • UniformDataGenerator.__init__()
    • UniformDataGenerator._generate_data()
• Functions
• Learning
  • Plotter
    • Plotter.comparison_scatter()
    • Plotter.datapoint_scatter()
    • Plotter.plot_loss()
  • Tester
    • Tester.__init__()
    • Tester.comparison_scatter()
    • Tester.generate_confusion()
    • Tester.generate_scatter()
    • Tester.run()
  • Trainer
    • Trainer.__init__()
    • Trainer.back_propagate_one_batch()
    • Trainer.comparison_scatter()
    • Trainer.generate_loss_plot()
    • Trainer.generate_scatter()
    • Trainer.run()
    • Trainer.store_gradients()
  • Validator
    • Validator.__init__()
    • Validator.comparison_scatter()
    • Validator.generate_scatter()
    • Validator.validate()
• Util
  • DataSplitter
    • DataSplitter.__init__()
    • DataSplitter.split()

Search

• Index

• Search Page