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Inicialização aleatória dos parâmetros theta em redes neurais
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| def randomInit(input_layer_size, hidden_layer_size, num_labels): | |
| # Parâmetros da primeira camada (incluindo bias) | |
| # As matrizes têm formato (num_entradas, num_saidas) | |
| size1 = (hidden_layer_size, input_layer_size+1) | |
| theta1_ini = np.random.normal(0, .1, size=size1) | |
| # Parâmetros da primeira camada (incluindo bias) | |
| size2 = (num_labels, hidden_layer_size+1) | |
| theta2_ini = np.random.normal(0, .1, size=size2) | |
| return (theta1_ini, theta2_ini) |
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