lvb_short.ini

[general]
keras_verbose = 1
seed = 798407683

[model]
data_dir = /home/iso/Development/lvb_short
data_dir_structure = flat
model_dir = models/lvb_short
sample_rate = 22050
debug = 0


[training]
max_epoch = 1000
test_factor = 0.1
batch_size = 16
output_bins = 256
filters = 256
dilation_depth = 9
stacks = 1
use_bias = no
use_ulaw = yes
res_l2 = 0
final_l2 = 0
initial_fragment_length = 128
fragment_stride = 128 
use_skip_connections = yes
learn_all_outputs = yes
random_train_batches = no
randomize_batch_order = yes
train_only_in_receptive_field = yes
train_with_soft_targets = no
soft_target_stdev = 0.5
optimizer = sgd
early_stopping_patience = 100


[optimizer-sgd]
name = sgd
lr = 0.001
momentum = 0.9
decay = 0.0
nesterov = yes
epsilon = 


[optimizer-adam]
name = adam
lr = 0.001
decay = 0.0
epsilon = 1e-8


[optimizer-adam2]
name = adam
lr = 0.01
decay = 0.0
epsilon = 1e-10


[prediction]
predict_length = 5
sample_argmax = no
sample_temperature = 1.0
use_softmax_as_input = no
initial_input = zero