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# Untitled

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1. # Cambiamos la tasa de aprendizaje, alpha y gamma
2. eta_v = 0.0003
3. alpha_v = 0.9
4. m_v = 2**8
5. epoch = 1500
6. gamma_v = .85
7.
8. # Modelos
9. aux_mb_6 = getMiniBatch(X, y, epoch, eta_v, m_v)
10. aux_nest_6 = getNesterovMomentum(X, y, epoch, eta_v, m_v, alpha_v, aux_mb_6)
11. aux_rms_6 = getRMSprop(X, y, epoch, eta_v, m_v, gamma_v, aux_mb_6, aux_nest_6)
12.
13. # Cambiamos la tasa de aprendizaje, alpha y gamma
14. eta_v = 0.0002
15. alpha_v = 0.9
16. m_v = 2**8
17. epoch = 1500
18. gamma_v = .85
19.
20. # Modelos
21. aux_mb_6 = getMiniBatch(X, y, epoch, eta_v, m_v)
22. aux_nest_6 = getNesterovMomentum(X, y, epoch, eta_v, m_v, alpha_v, aux_mb_6)
23. aux_rms_6 = getRMSprop(X, y, epoch, eta_v, m_v, gamma_v, aux_mb_6, aux_nest_6)
24.
25. # Cambiamos la tasa de aprendizaje, alpha y gamma
26. eta_v = 0.0001
27. alpha_v = 0.9
28. m_v = 2**8
29. epoch = 1500
30. gamma_v = .85
31.
32. # Modelos
33. aux_mb_6 = getMiniBatch(X, y, epoch, eta_v, m_v)
34. aux_nest_6 = getNesterovMomentum(X, y, epoch, eta_v, m_v, alpha_v, aux_mb_6)
35. aux_rms_6 = getRMSprop(X, y, epoch, eta_v, m_v, gamma_v, aux_mb_6, aux_nest_6)
36.
37.
38. #######################################################
39. #######################################################
40. #######################################################
41.
42. # Cambiamos la tasa de aprendizaje, alpha y gamma
43. eta_v = 0.0003
44. alpha_v = 0.9
45. m_v = 2**8
46. epoch = 1500
47. gamma_v = .85
48.
49. # Modelos
50. aux_mb_6 = getMiniBatch(X, y, epoch, eta_v, m_v)
51. aux_nest_6 = getNesterovMomentum(X, y, epoch, eta_v, m_v, alpha_v, aux_mb_6)
52. aux_rms_6 = getRMSprop(X, y, epoch, eta_v, m_v, gamma_v, aux_mb_6, aux_nest_6)
53.
54. # Cambiamos la tasa de aprendizaje, alpha y gamma
55. eta_v = 0.0002
56. alpha_v = 0.8
57. m_v = 2**8
58. epoch = 1500
59. gamma_v = .85
60.
61. # Modelos
62. aux_mb_6 = getMiniBatch(X, y, epoch, eta_v, m_v)
63. aux_nest_6 = getNesterovMomentum(X, y, epoch, eta_v, m_v, alpha_v, aux_mb_6)
64. aux_rms_6 = getRMSprop(X, y, epoch, eta_v, m_v, gamma_v, aux_mb_6, aux_nest_6)
65.
66. # Cambiamos la tasa de aprendizaje, alpha y gamma
67. eta_v = 0.0001
68. alpha_v = 0.8
69. m_v = 2**8
70. epoch = 1500
71. gamma_v = .85
72.
73. # Modelos
74. aux_mb_6 = getMiniBatch(X, y, epoch, eta_v, m_v)
75. aux_nest_6 = getNesterovMomentum(X, y, epoch, eta_v, m_v, alpha_v, aux_mb_6)
76. aux_rms_6 = getRMSprop(X, y, epoch, eta_v, m_v, gamma_v, aux_mb_6, aux_nest_6)
77.
78.
79. #######################################################
80. #######################################################
81. #######################################################
82.
83. # Cambiamos la tasa de aprendizaje, alpha y gamma
84. eta_v = 0.0003
85. alpha_v = 0.9
86. m_v = 2**8
87. epoch = 1500
88. gamma_v = .95
89.
90. # Modelos
91. aux_mb_6 = getMiniBatch(X, y, epoch, eta_v, m_v)
92. aux_nest_6 = getNesterovMomentum(X, y, epoch, eta_v, m_v, alpha_v, aux_mb_6)
93. aux_rms_6 = getRMSprop(X, y, epoch, eta_v, m_v, gamma_v, aux_mb_6, aux_nest_6)
94.
95. # Cambiamos la tasa de aprendizaje, alpha y gamma
96. eta_v = 0.0002
97. alpha_v = 0.8
98. m_v = 2**8
99. epoch = 1500
100. gamma_v = .85
101.
102. # Modelos
103. aux_mb_6 = getMiniBatch(X, y, epoch, eta_v, m_v)
104. aux_nest_6 = getNesterovMomentum(X, y, epoch, eta_v, m_v, alpha_v, aux_mb_6)
105. aux_rms_6 = getRMSprop(X, y, epoch, eta_v, m_v, gamma_v, aux_mb_6, aux_nest_6)
106.
107. # Cambiamos la tasa de aprendizaje, alpha y gamma
108. eta_v = 0.0001
109. alpha_v = 0.8
110. m_v = 2**8
111. epoch = 1500
112. gamma_v = .75
113.
114. # Modelos
115. aux_mb_6 = getMiniBatch(X, y, epoch, eta_v, m_v)
116. aux_nest_6 = getNesterovMomentum(X, y, epoch, eta_v, m_v, alpha_v, aux_mb_6)
117. aux_rms_6 = getRMSprop(X, y, epoch, eta_v, m_v, gamma_v, aux_mb_6, aux_nest_6)
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