MedicalNamedEntityRecognition
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求告知keras和tensorflow的版本
有知道keras和tensorflow版本的吗?
同问
keras=2.2.0 tensorflow=1.14.0 能运行
keras=2.2.0 tensorflow=1.14.0 能运行
你好 你我晚上试了下 确实能运行。但是还有些其他问题想和你请教一下,能留个邮箱吗?
直接在这上面说吧
训练完成之后输出是:
Traceback (most recent call last):
File "lstm_train.py", line 161, in
训练完成之后输出是: Traceback (most recent call last): File "lstm_train.py", line 161, in ner.train_model() File "lstm_train.py", line 130, in train_model self.draw_train(history) File "lstm_train.py", line 137, in draw_train plt.plot(history.history['acc']) KeyError: 'acc 这是什么意思
你好,我也遇到了这个问题,请问你解决了吗?
训练完成之后输出是: Traceback (most recent call last): File "lstm_train.py", line 161, in ner.train_model() File "lstm_train.py", line 130, in train_model self.draw_train(history) File "lstm_train.py", line 137, in draw_train plt.plot(history.history['acc']) KeyError: 'acc 这是什么意思
你好,我也遇到了这个问题,请问你解决了吗?
没有。还在学习中。
训练完成之后输出是: Traceback (most recent call last): File "lstm_train.py", line 161, in ner.train_model() File "lstm_train.py", line 130, in train_model self.draw_train(history) File "lstm_train.py", line 137, in draw_train plt.plot(history.history['acc']) KeyError: 'acc 这是什么意思
你好,我也遇到了这个问题,请问你解决了吗?
print(history.history.keys())发现有4个: dict_keys(['val_loss', 'val_crf_viterbi_accuracy', 'loss', 'crf_viterbi_accuracy']) 把 'acc' 改成 'crf_viterbi_accuracy'
有知道为什么结果的loss很大,都是十几呢?正确率却挺高的。
- loss: 17.5805 - crf_viterbi_accuracy: 0.9911 - val_loss: 15.6539 - val_crf_viterbi_accuracy: 0.8773
- loss: 17.5799 - crf_viterbi_accuracy: 0.9915 - val_loss: 15.6227 - val_crf_viterbi_accuracy: 0.8833
- loss: 17.5801 - crf_viterbi_accuracy: 0.9915 - val_loss: 15.6512 - val_crf_viterbi_accuracy: 0.8796
- loss: 17.5808 - crf_viterbi_accuracy: 0.9909 - val_loss: 15.6785 - val_crf_viterbi_accuracy: 0.8777
使用 python 3.7 版本,并且 pip install tensorflow==1.14.0
、pip install Keras==2.2.0
和 pip install git+https://www.github.com/keras-team/keras-contrib.git
。