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How to see/change learning rate in Keras LSTM?



Unicorn Meta Zoo #1: Why another podcast?
Announcing the arrival of Valued Associate #679: Cesar Manara
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election Resultshow to change keras backend in windows?When should you use learning rate scheduling over adaptive learning rate optimization algorithm?LSTM not learning with extra nontemporal data added after LSTM layer - KerasBatch Size of Stateful LSTM in kerasKeras- LSTM answers different sizeIs it a good practice to always apply `ReduceLROnPlateau()`, given that models benefit from reducing learning rate once learning stagnates?How to change the names of the layers of deep learning in Keras?Music Generation LSTM not learning (Keras)How to design a many-to-many LSTM?How can I access to loss value in Keras LSTM implementation?










0












$begingroup$


I see in some question/answers that they say decrease the learning rate. But I don't know how can I see and change the learning rate of LSTM model in Keras library?










share|improve this question









$endgroup$
















    0












    $begingroup$


    I see in some question/answers that they say decrease the learning rate. But I don't know how can I see and change the learning rate of LSTM model in Keras library?










    share|improve this question









    $endgroup$














      0












      0








      0





      $begingroup$


      I see in some question/answers that they say decrease the learning rate. But I don't know how can I see and change the learning rate of LSTM model in Keras library?










      share|improve this question









      $endgroup$




      I see in some question/answers that they say decrease the learning rate. But I don't know how can I see and change the learning rate of LSTM model in Keras library?







      keras lstm learning-rate






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Apr 6 at 10:58









      user145959user145959

      1579




      1579




















          1 Answer
          1






          active

          oldest

          votes


















          1












          $begingroup$

          In Keras, you can set the learning rate as a parameter for the optimization method, the piece of code below is an example from Keras documentation:



           from keras import optimizers

          model = Sequential()
          model.add(Dense(64, kernel_initializer='uniform', input_shape=(10,)))
          model.add(Activation('softmax'))

          sgd = optimizers.SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)
          model.compile(loss='mean_squared_error', optimizer=sgd)


          in the above code, the fifth line lr is learning rate, which in this code is setted to 0.01, you change it to whatever you want.



          for more see this link.



          please tell me if this helped solve your problem.






          share|improve this answer









          $endgroup$












          • $begingroup$
            Thank you very much honar. I will test it as soon as possible and tell you about the result.
            $endgroup$
            – user145959
            Apr 6 at 14:46










          • $begingroup$
            I was using Adam optimizer, so I added these two line of the code and seems it works. from Keras import optimizers optimizers.Adam(lr=0.0001, beta_1=0.9, beta_2=0.999, epsilon=None, decay=0.0, amsgrad=False)
            $endgroup$
            – user145959
            Apr 6 at 14:54










          • $begingroup$
            Do you know how can I see the value of learning rate during the training? I use Adam optimizer.
            $endgroup$
            – user145959
            Apr 8 at 9:21










          • $begingroup$
            as I know, the learning rate in your case does not change and remains 0.0001.
            $endgroup$
            – SoK
            Apr 8 at 11:12










          • $begingroup$
            Yes, I put the wrong code, I meant I like to see if I change decay value how will it change the learning rate value during the training process?
            $endgroup$
            – user145959
            Apr 8 at 20:41












          Your Answer








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          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          1












          $begingroup$

          In Keras, you can set the learning rate as a parameter for the optimization method, the piece of code below is an example from Keras documentation:



           from keras import optimizers

          model = Sequential()
          model.add(Dense(64, kernel_initializer='uniform', input_shape=(10,)))
          model.add(Activation('softmax'))

          sgd = optimizers.SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)
          model.compile(loss='mean_squared_error', optimizer=sgd)


          in the above code, the fifth line lr is learning rate, which in this code is setted to 0.01, you change it to whatever you want.



          for more see this link.



          please tell me if this helped solve your problem.






          share|improve this answer









          $endgroup$












          • $begingroup$
            Thank you very much honar. I will test it as soon as possible and tell you about the result.
            $endgroup$
            – user145959
            Apr 6 at 14:46










          • $begingroup$
            I was using Adam optimizer, so I added these two line of the code and seems it works. from Keras import optimizers optimizers.Adam(lr=0.0001, beta_1=0.9, beta_2=0.999, epsilon=None, decay=0.0, amsgrad=False)
            $endgroup$
            – user145959
            Apr 6 at 14:54










          • $begingroup$
            Do you know how can I see the value of learning rate during the training? I use Adam optimizer.
            $endgroup$
            – user145959
            Apr 8 at 9:21










          • $begingroup$
            as I know, the learning rate in your case does not change and remains 0.0001.
            $endgroup$
            – SoK
            Apr 8 at 11:12










          • $begingroup$
            Yes, I put the wrong code, I meant I like to see if I change decay value how will it change the learning rate value during the training process?
            $endgroup$
            – user145959
            Apr 8 at 20:41
















          1












          $begingroup$

          In Keras, you can set the learning rate as a parameter for the optimization method, the piece of code below is an example from Keras documentation:



           from keras import optimizers

          model = Sequential()
          model.add(Dense(64, kernel_initializer='uniform', input_shape=(10,)))
          model.add(Activation('softmax'))

          sgd = optimizers.SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)
          model.compile(loss='mean_squared_error', optimizer=sgd)


          in the above code, the fifth line lr is learning rate, which in this code is setted to 0.01, you change it to whatever you want.



          for more see this link.



          please tell me if this helped solve your problem.






          share|improve this answer









          $endgroup$












          • $begingroup$
            Thank you very much honar. I will test it as soon as possible and tell you about the result.
            $endgroup$
            – user145959
            Apr 6 at 14:46










          • $begingroup$
            I was using Adam optimizer, so I added these two line of the code and seems it works. from Keras import optimizers optimizers.Adam(lr=0.0001, beta_1=0.9, beta_2=0.999, epsilon=None, decay=0.0, amsgrad=False)
            $endgroup$
            – user145959
            Apr 6 at 14:54










          • $begingroup$
            Do you know how can I see the value of learning rate during the training? I use Adam optimizer.
            $endgroup$
            – user145959
            Apr 8 at 9:21










          • $begingroup$
            as I know, the learning rate in your case does not change and remains 0.0001.
            $endgroup$
            – SoK
            Apr 8 at 11:12










          • $begingroup$
            Yes, I put the wrong code, I meant I like to see if I change decay value how will it change the learning rate value during the training process?
            $endgroup$
            – user145959
            Apr 8 at 20:41














          1












          1








          1





          $begingroup$

          In Keras, you can set the learning rate as a parameter for the optimization method, the piece of code below is an example from Keras documentation:



           from keras import optimizers

          model = Sequential()
          model.add(Dense(64, kernel_initializer='uniform', input_shape=(10,)))
          model.add(Activation('softmax'))

          sgd = optimizers.SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)
          model.compile(loss='mean_squared_error', optimizer=sgd)


          in the above code, the fifth line lr is learning rate, which in this code is setted to 0.01, you change it to whatever you want.



          for more see this link.



          please tell me if this helped solve your problem.






          share|improve this answer









          $endgroup$



          In Keras, you can set the learning rate as a parameter for the optimization method, the piece of code below is an example from Keras documentation:



           from keras import optimizers

          model = Sequential()
          model.add(Dense(64, kernel_initializer='uniform', input_shape=(10,)))
          model.add(Activation('softmax'))

          sgd = optimizers.SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)
          model.compile(loss='mean_squared_error', optimizer=sgd)


          in the above code, the fifth line lr is learning rate, which in this code is setted to 0.01, you change it to whatever you want.



          for more see this link.



          please tell me if this helped solve your problem.







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Apr 6 at 13:31









          SoKSoK

          32814




          32814











          • $begingroup$
            Thank you very much honar. I will test it as soon as possible and tell you about the result.
            $endgroup$
            – user145959
            Apr 6 at 14:46










          • $begingroup$
            I was using Adam optimizer, so I added these two line of the code and seems it works. from Keras import optimizers optimizers.Adam(lr=0.0001, beta_1=0.9, beta_2=0.999, epsilon=None, decay=0.0, amsgrad=False)
            $endgroup$
            – user145959
            Apr 6 at 14:54










          • $begingroup$
            Do you know how can I see the value of learning rate during the training? I use Adam optimizer.
            $endgroup$
            – user145959
            Apr 8 at 9:21










          • $begingroup$
            as I know, the learning rate in your case does not change and remains 0.0001.
            $endgroup$
            – SoK
            Apr 8 at 11:12










          • $begingroup$
            Yes, I put the wrong code, I meant I like to see if I change decay value how will it change the learning rate value during the training process?
            $endgroup$
            – user145959
            Apr 8 at 20:41

















          • $begingroup$
            Thank you very much honar. I will test it as soon as possible and tell you about the result.
            $endgroup$
            – user145959
            Apr 6 at 14:46










          • $begingroup$
            I was using Adam optimizer, so I added these two line of the code and seems it works. from Keras import optimizers optimizers.Adam(lr=0.0001, beta_1=0.9, beta_2=0.999, epsilon=None, decay=0.0, amsgrad=False)
            $endgroup$
            – user145959
            Apr 6 at 14:54










          • $begingroup$
            Do you know how can I see the value of learning rate during the training? I use Adam optimizer.
            $endgroup$
            – user145959
            Apr 8 at 9:21










          • $begingroup$
            as I know, the learning rate in your case does not change and remains 0.0001.
            $endgroup$
            – SoK
            Apr 8 at 11:12










          • $begingroup$
            Yes, I put the wrong code, I meant I like to see if I change decay value how will it change the learning rate value during the training process?
            $endgroup$
            – user145959
            Apr 8 at 20:41
















          $begingroup$
          Thank you very much honar. I will test it as soon as possible and tell you about the result.
          $endgroup$
          – user145959
          Apr 6 at 14:46




          $begingroup$
          Thank you very much honar. I will test it as soon as possible and tell you about the result.
          $endgroup$
          – user145959
          Apr 6 at 14:46












          $begingroup$
          I was using Adam optimizer, so I added these two line of the code and seems it works. from Keras import optimizers optimizers.Adam(lr=0.0001, beta_1=0.9, beta_2=0.999, epsilon=None, decay=0.0, amsgrad=False)
          $endgroup$
          – user145959
          Apr 6 at 14:54




          $begingroup$
          I was using Adam optimizer, so I added these two line of the code and seems it works. from Keras import optimizers optimizers.Adam(lr=0.0001, beta_1=0.9, beta_2=0.999, epsilon=None, decay=0.0, amsgrad=False)
          $endgroup$
          – user145959
          Apr 6 at 14:54












          $begingroup$
          Do you know how can I see the value of learning rate during the training? I use Adam optimizer.
          $endgroup$
          – user145959
          Apr 8 at 9:21




          $begingroup$
          Do you know how can I see the value of learning rate during the training? I use Adam optimizer.
          $endgroup$
          – user145959
          Apr 8 at 9:21












          $begingroup$
          as I know, the learning rate in your case does not change and remains 0.0001.
          $endgroup$
          – SoK
          Apr 8 at 11:12




          $begingroup$
          as I know, the learning rate in your case does not change and remains 0.0001.
          $endgroup$
          – SoK
          Apr 8 at 11:12












          $begingroup$
          Yes, I put the wrong code, I meant I like to see if I change decay value how will it change the learning rate value during the training process?
          $endgroup$
          – user145959
          Apr 8 at 20:41





          $begingroup$
          Yes, I put the wrong code, I meant I like to see if I change decay value how will it change the learning rate value during the training process?
          $endgroup$
          – user145959
          Apr 8 at 20:41


















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