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ParticleDecorator activiation='linear' use_bias='False'
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{'divergent': 0, 'fix_zero': 0, 'fix_other': 0, 'fix_sec': 0, 'other': 100}
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ParticleDecorator activiation='sigmoid' use_bias='False'
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{'divergent': 0, 'fix_zero': 0, 'fix_other': 0, 'fix_sec': 0, 'other': 100}
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ParticleDecorator activiation='relu' use_bias='False'
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{'divergent': 0, 'fix_zero': 0, 'fix_other': 0, 'fix_sec': 0, 'other': 100}
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TrainingNeuralNetworkDecorator activiation='sigmoid' use_bias=False
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{'xs': [0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100], 'ys': [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], 'zs': [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}
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ParticleDecorator activiation='linear' use_bias=False
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{'xs': [0, 100, 200, 300, 400, 500, 600, 700, 800, 900, 1000], 'ys': [0.9, 0.95, 1.0, 0.95, 0.9, 0.95, 0.85, 0.8, 0.85, 0.85, 0.75]}
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TrainingNeuralNetworkDecorator activiation='linear' use_bias=False
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{'xs': [0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100], 'ys': [0.4, 0.2, 0.3, 0.2, 0.3, 0.3, 0.5, 0.3, 0.9, 0.6, 0.2], 'zs': [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}
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ParticleDecorator activiation='linear' use_bias=False
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{'divergent': 0, 'fix_zero': 0, 'fix_other': 0, 'fix_sec': 0, 'other': 20}
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