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scores.txt
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scores.txt
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Score: AVG STD MAX MIN
----------------------
fc 3 3 9
relu
dropout
fc 1 1 16
relu
output
SCORE: -146 942 1748 -2236
--------------------------
fc 8 8 2
relu
fc 4 4 1
relu
output
SCORE: -162 610 1248 -1469
-------
dense fc 8 8 2
relu
fc 1 1 4
relu
output
SCORE: -90 629 1210 -1265
-------
fc 8 8 2
relu
fc 4 1 1
relu
output
SCORE: -378 997 1791 -2422
-------
fc 8 8 2
relu
fc 4 4 1
relu
output
SCORE: -285 790 1817 -1498
-------
fc 1 1 4
relu
fc 1 1 4
relu
fc 1 1 4
relu
fc 1 1 4
relu
output
SCORE: 52 992 1736 -1536
-------
fc 1 1 16
relu
fc 1 1 8
relu
fc 1 1 4
relu
output
SCORE: 161 935 1729 -1716
-------
fc 1 1 32
relu
fc 1 1 16
relu
fc 1 1 8
relu
output
SCORE: -102 753 1062 -1691
-------
LR: 0.005 (0.001)
fc 1 1 16
relu
fc 1 1 8
relu
fc 1 1 4
relu
output
SCORE: -131 674 1234 -1426
-------
LR: 0.01 (0.001)
fc 1 1 16
relu
fc 1 1 8
relu
fc 1 1 4
relu
output
SCORE: -159 550 1183 -1382
-------
fc 1 1 20
relu
dropout
output
SCORE: 330 624 1613 -909
-------
{
"experience_buffer_size" : 512,
"gamma" : 0.95,
"network_architecture":
{
"network_log_file_name" : "black_box_network.log",
"input_geometry" : [8, 8, 2],
"output_geometry" : [1, 1, 4],
"hyperparameters" :
{
"init_weight_range" : 0.0,
"learning_rate" : 0.02,
"lambda1" : 0.000001,
"lambda2" : 0.000001,
"dropout" : 0.02,
"minibatch_size" : 64
},
"layers" :
[
{
"type" : "fc",
"geometry" : [1, 1, 20]
},
{
"type" : "relu"
},
{
"type" : "dropout"
},
{
"type" : "output"
}
]
}
}
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{
"experience_buffer_size" : 512,
"gamma" : 0.8,
"network_architecture":
{
"network_log_file_name" : "black_box_network.log",
"input_geometry" : [8, 8, 2],
"output_geometry" : [1, 1, 4],
"hyperparameters" :
{
"init_weight_range" : 0.0,
"learning_rate" : 0.02,
"lambda1" : 0.000001,
"lambda2" : 0.000001,
"dropout" : 0.02,
"minibatch_size" : 64
},
"layers" :
[
{
"type" : "fc",
"geometry" : [1, 1, 20]
},
{
"type" : "relu"
},
{
"type" : "output"
}
]
}
}
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