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D:\anaconda3\envs\drones\python.exe D:\PycharmProj\drones-attention-based-lstm-deep-q-network-rpp-main\main.py
2024-10-30 19:26:50.543598: I tensorflow/core/util/port.cc:153] oneDNN custom operation…
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As an exercise to get acquainted with Keras, I want to train a simple model with attention to translate sentences.
I am not calling a tf function, only using Keras layers. But I get the following e…
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您好，感谢您的分享，请问可以提供一些数据进而方便进行代码的测试和学习吗？
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Line 66 In the encoder_decoder function throws an error, TypeError: list indices must be integers or slices, not tuple.
Let me know if you need more details. Thanks.
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When I try to implement lstm_attentio.py I get an error as such,
Traceback (most recent call last):
File "lstm_Attention.py", line 39, in
en_shape=np.shape(train_data["article"][0])
NameE…
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马博士您好 @mayuefine 非常感谢您的文章和代码给我的启发！我有个问题，就是用result_modif.pl整合att、lstm和bert模型出来的结果时，遇到$h{$i}是不是需要att/lstm和bert行数要相等？就是在这个代码中：
my $att = $ARGV[0]; # result from attention model prediction
my $lstm = $A…
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老师您好，您的CNN LSTM self attention写得非常棒。我想请问下这个 self attention的模块可以用来进行timeseries的每一个时间步的预测吗？比如我的X_train.shape = [8252, 1000, 1]，我想对每个样本中的1000个时间步求出一个预测概率，相当于概率>0.5为1类，
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Adding the LSTM-attention implementation. we need to merge the LSTM and LSTM attention into a unified model.
We also need to create common task.py and utils for all the models since we need to run …
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你好，TCN_Attention_LSTM_pre.py运行·报错RuntimeError: Error(s) in loading state_dict for TCNAttentionLSTM:
Missing key(s) in state_dict: "tcn.net.0.conv1.weight_g", "tcn.net.0.conv1.weight_v", "tcn.net.0.c…
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**Is your feature request related to a problem? Please describe.**
LSTMs are capable of capturing long-term dependencies, and attention mechanisms help the model focus on relevant parts of the input …