🔒 Attempted to make a simple Neural Network, but the results always end up being the same

[thin geyser]

pym.dev/p/23v8u/

[tardy garden]

@thin geyser

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[thin geyser]

import NeuralNetwork


model = NeuralNetwork.NeuralNetwork([])
input_layer = model.create_layer(2)
hidden_layer = model.create_layer(2)
output_layer = model.create_layer(1, activation=NeuralNetwork.sigmoid)

# AND
model.predict([1, 1], target=1)
model.train([[1, 1], [1, 0], [0, 1], [0, 0]], targets=[1, 1, 1, 0])

while True:
    print('\n')
    command = input(">> ")
    full_command = command.split(' ')
    if full_command[0] == "predict":
        if full_command[1] == "1":
            model.predict([1, 1], target=1)
        elif full_command[1] == "2":
            model.predict([1, 0], target=1)
        elif full_command[1] == "3":
            model.predict([0, 1], target=1)
        elif full_command[1] == "4":
            model.predict([0, 0], target=0)

    if full_command[0] == "train":
        old_error = model.error
        for i in range(int(full_command[1])):
            model.train([[1, 1], [1, 0], [0, 1], [0, 0]], targets=[1, 1, 1, 0])
        print(f"Old Error: {old_error}\nNew Error: {model.error}")
    if full_command[0] == "train0":
        model.train([0,0], 0)

    if full_command[0] == "allweights":
        for layer in model.layers:
            for neuron in layer:
                print("Layer: ", model.layers.index(layer))
                print("Weight:", neuron.weight)
                print("Bias:", neuron.bias)
                print("Output:", neuron.result)

Script Im using to train the model, attempting to train it to perform the OR function

[tardy garden]

@thin geyser

Python help channel closed for inactivity

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