2019赛季RM中部分区赛,自瞄和能量机关,完整稳定版。
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2
tools/TrainCNN/backward.py
Executable file → Normal file
2
tools/TrainCNN/backward.py
Executable file → Normal file
@@ -75,7 +75,7 @@ def train(dataset, show_bar=False):
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learning_rate = tf.train.exponential_decay(
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LEARNING_RATE_BASE,
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global_step,
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len(dataset.train_samples) / BATCH / 5,
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len(dataset.train_samples) / BATCH,
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LEARNING_RATE_DECAY,
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staircase=False)
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train_step = tf.train.AdamOptimizer(learning_rate).minimize(loss, global_step=global_step)
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