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Is there any standard or normal range for the amount of LSTM loss function?
$begingroup$
I am working on a LSTM network that I get loss amounts around 4.7 . It seems adding more layers and increasing epochs don't help to decreasing it. I also using a Dropout = 0.2 for each of my layers and implemented all the jobs with Keras library.
I like to know about this loss amount? is this large or is OK> Are there any rule of thumb for loss?
And why I can't decrease my loss amount? Is there any problem here?
lstm loss-function
$endgroup$
add a comment |
$begingroup$
I am working on a LSTM network that I get loss amounts around 4.7 . It seems adding more layers and increasing epochs don't help to decreasing it. I also using a Dropout = 0.2 for each of my layers and implemented all the jobs with Keras library.
I like to know about this loss amount? is this large or is OK> Are there any rule of thumb for loss?
And why I can't decrease my loss amount? Is there any problem here?
lstm loss-function
$endgroup$
add a comment |
$begingroup$
I am working on a LSTM network that I get loss amounts around 4.7 . It seems adding more layers and increasing epochs don't help to decreasing it. I also using a Dropout = 0.2 for each of my layers and implemented all the jobs with Keras library.
I like to know about this loss amount? is this large or is OK> Are there any rule of thumb for loss?
And why I can't decrease my loss amount? Is there any problem here?
lstm loss-function
$endgroup$
I am working on a LSTM network that I get loss amounts around 4.7 . It seems adding more layers and increasing epochs don't help to decreasing it. I also using a Dropout = 0.2 for each of my layers and implemented all the jobs with Keras library.
I like to know about this loss amount? is this large or is OK> Are there any rule of thumb for loss?
And why I can't decrease my loss amount? Is there any problem here?
lstm loss-function
lstm loss-function
asked 4 mins ago
user145959user145959
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485
add a comment |
add a comment |
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