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weights_log.txt
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train_weights_adex_1000
T = 200
N = 2785
N_main = 2000
excitatory_ratio = 0.8
connection_prob = 0.01
N_input = 784
subset_size = 200
input_prob = 0.01
weight_min = -10 # use -10 for adex and -1.5 for HH
weight_max = 10 # use 10 for adex and 1.5 for HH
weight_mul = 5.0 # use 5.0 for adex and 1.0 for HH
teach_exc = 10.0
teach_inhb = -10.0
image_num = 1000
Runtime 11sec per image, total 1.5h
trained_weights_hh_500
T = 50
N = 2785
N_main = 2000
excitatory_ratio = 0.8
connection_prob = 0.01
N_input = 784
subset_size = 200
input_prob = 0.01
weight_min = -1.5 # use -10 for adex and -1.5 for HH
weight_max = 1.5 # use 10 for adex and 1.5 for HH
weight_mul = 1.0 # use 5.0 for adex and 1.0 for HH
teach_exc = 1.0
teach_inhb = -1.0
image_num = 500
Runtime 1min 46sec per image, total 850min
trained_weights_hh_fancy_1000
N = 1785
N_main = 1000
excitatory_ratio = 0.8
connection_prob = 0.001
N_input = 784
subset_size = 100
input_prob = 0.001
weight_min = -1.5 # use -10 for adex and -1.5 for HH
weight_max = 1.5 # use 10 for adex and 1.5 for HH
weight_mul = 1.0 # use 5.0 for adex and 1.0 for HH
teach_exc = 1.0
teach_inhb = -1.0
image_num = 1000
T=50
Runtime 55sec per image, total 930min