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Apr 25th, 2018
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  1. layer = 1
  2. hiddenU = 16
  3. val_dictionary = {}
  4. model = keras.models.Sequential(name = 'LSTM')
  5. model.add(keras.layers.LSTM(hiddenU, input_shape = xt.shape[1:], return_sequences = layer > 1))
  6. model.add(Dense(2))
  7. adam = keras.optimizers.Adam(lr=0.001, beta_1=0.9, beta_2=0.999, epsilon=1e-08, decay=1e-4)
  8. model.compile(loss= lambda y, yp: (pinball(y, yp, 1)), optimizer = 'adam')
  9. model.load_weights('Weights/LSTMGetWeights')
  10. for layer in model.layers:
  11. weights = layer.get_weights()
  12. print(weights)
  13. [array([[ 0.36053008, -0.25284126],
  14. [ 0.37837738, -0.5382352 ],
  15. [-0.05943123, 0.19144805],
  16. [ 0.3131915 , 0.7109782 ],
  17. [ 0.23572737, -0.11478594],
  18. [ 0.10371532, 0.6173115 ],
  19. [ 0.9760161 , 1.4972438 ],
  20. [ 0.2379393 , -0.0071888 ],
  21. [ 0.55228376, 0.46662283],
  22. [ 1.2852958 , 0.475782 ],
  23. [ 0.13585456, 0.5095823 ],
  24. [-0.13454953, -0.7498165 ],
  25. [ 0.00282927, -0.53929615],
  26. [-0.21484761, 0.08239145],
  27. [ 0.9378741 , 0.8509973 ],
  28. [-0.46459877, 0.21304554]], dtype=float32), array([-0.01857078, 0.26882732], dtype=float32)]
  29.  
  30. layer.set_weights([np.array([[ 0.36053008, 23.023],
  31. [ 0.37837738, -0.5382352 ],
  32. [-0.05943123, 0.19144805],
  33. [ 0.3131915 , 0.7109782 ],
  34. [ 0.23572737, -0.11478594],
  35. [ 0.10371532, 0.6173115 ],
  36. [ 0.9760161 , 1.4972438 ],
  37. [ 0.2379393 , -0.0071888 ],
  38. [ 0.55228376, 0.46662283],
  39. [ 1.2852958 , 0.475782 ],
  40. [ 0.13585456, 0.5095823 ],
  41. [-0.13454953, -0.7498165 ],
  42. [ 0.00282927, -0.53929615],
  43. [-0.21484761, 0.08239145],
  44. [ 0.9378741 , 0.8509973 ],
  45. [-0.46459877, 0.21304554]], dtype=np.float32), np.array([-0.01857078, 0.26882732], dtype=np.float32)])
  46.  
  47. [array([[ 3.6053008e-01, 2.3023001e+01],
  48. [ 3.7837738e-01, -5.3823519e-01],
  49. [-5.9431229e-02, 1.9144805e-01],
  50. [ 3.1319150e-01, 7.1097821e-01],
  51. [ 2.3572737e-01, -1.1478594e-01],
  52. [ 1.0371532e-01, 6.1731148e-01],
  53. [ 9.7601610e-01, 1.4972438e+00],
  54. [ 2.3793930e-01, -7.1887998e-03],
  55. [ 5.5228376e-01, 4.6662283e-01],
  56. [ 1.2852958e+00, 4.7578201e-01],
  57. [ 1.3585456e-01, 5.0958228e-01],
  58. [-1.3454953e-01, -7.4981648e-01],
  59. [ 2.8292700e-03, -5.3929615e-01],
  60. [-2.1484761e-01, 8.2391448e-02],
  61. [ 9.3787408e-01, 8.5099733e-01],
  62. [-4.6459877e-01, 2.1304554e-01]], dtype=float32), array([-0.01857078, 0.26882732], dtype=float32)]
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