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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?
$begingroup$
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?
keras lstm learning-rate
$endgroup$
add a comment |
$begingroup$
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?
keras lstm learning-rate
$endgroup$
add a comment |
$begingroup$
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?
keras lstm learning-rate
$endgroup$
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
keras lstm learning-rate
asked Apr 6 at 10:58
user145959user145959
1579
1579
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
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.
$endgroup$
$begingroup$
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 usingAdam
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 oflearning rate
during the training? I useAdam
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
add a comment |
Your Answer
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
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.
$endgroup$
$begingroup$
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 usingAdam
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 oflearning rate
during the training? I useAdam
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
add a comment |
$begingroup$
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.
$endgroup$
$begingroup$
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 usingAdam
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 oflearning rate
during the training? I useAdam
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
add a comment |
$begingroup$
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.
$endgroup$
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.
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 usingAdam
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 oflearning rate
during the training? I useAdam
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
add a comment |
$begingroup$
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 usingAdam
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 oflearning rate
during the training? I useAdam
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
add a comment |
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