description: simple lstm example tensorflow

# compute sigmoid nonlinearity

1 | def sigmoid(x): |

# convert output of sigmoid function to its derivative

1 | def sigmoid_output_to_derivative(output): |

# training dataset generation

1 | int2binary = {} |

# input variables

1 | alpha = 0.1 |

# initialize neural network weights

1 | synapse_0 = 2 * np.random.random((input_dim, hidden_dim)) - 1 |

# training logic # 训练的次数

1 | for j in range(10000): |

# output

1 | Error:[3.45638663] |