Commit e37f2c5f authored by Luca Pasa's avatar Luca Pasa
Browse files

redi for LER test on MULTI_GRID_100_Spectro_Concat_DAE_4_speech

parent 02009da5
......@@ -306,7 +306,7 @@ if __name__ == '__main__':
test_step = 10
learningDecay = 1
momentum = 0.9
test_name = "Bi_On_Overfitting_TEST_Concat_DAE_lr-" + str(learningRate) + "_batch_size-" + str(
test_name = "MULTI_GRID_100_Spectro_Concat_DAE_4_speech_Test_lr-" + str(learningRate) + "_batch_size-" + str(
batch_size) + "_n_hidden_encode-" + str(nHidden[0])
graph = tf.Graph()
......
......@@ -71,10 +71,10 @@ def get_output(sess, model, input_audio, input_video, input_len):
if __name__ == '__main__':
num_epochs = 500
batch_size = 18
nIn_audio = 123
batch_size = 30
nIn_audio = 257
nIn_video = 134
nHidden = [350,500]
nHidden = [500,600]
nHidden_encode = 750
learningRate = 0.001
traininglog_dir = "./"
......@@ -84,7 +84,7 @@ if __name__ == '__main__':
momentum = 0.9
ckpt_file = "../Baseline_Models/RESULT/BaseLine1/Overfitting_TEST_Concat_DAE_4_speech_Test_lr-0.001_batch_size-18_n_hidden_encode-750.ckpt-500"
ckpt_file = "../Baseline_Models/RESULT/BaseLine1/MULTI_GRID_100_Spectro_Concat_DAE_4_speech_Test_lr-0.001_batch_size-30_n_hidden_encode-750.ckpt-230"
graph = tf.Graph()
with graph.as_default():
with tf.Session(graph=graph) as sess:
......
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