freeze layers while passing a part of features
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I want to design a network using keras like this pic. And there is a problem I need some help. F* is a feature tensor like a sentence or a picture, the shared layers is a block comprise several layers. F* will merge together after passing the shared layer. Then merged feature will pass an output layer. The structure is described below.
The problem is I want to train this network only use F1. Namely, when F2 pass the shared layers, shared layers are frozen.
I would very appreciate if you could answer me with pseudocode.
keras deep-learning artificial-intelligence
asked Nov 9 at 5:17
woaisxxd
277
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0
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I want to design a network using keras like this pic. And there is a problem I need some help. F* is a feature tensor like a sentence or a picture, the shared layers is a block comprise several layers. F* will merge together after passing the shared layer. Then merged feature will pass an output layer. The structure is described below.
The problem is I want to train this network only use F1. Namely, when F2 pass the shared layers, shared layers are frozen.
I would very appreciate if you could answer me with pseudocode.
keras deep-learning artificial-intelligence
asked Nov 9 at 5:17
woaisxxd
277
Have a look at: github.com/fchollet/deep-learning-with-python-notebooks/blob/…. It is from Chollet's book, which I recommend. This chapter describes merging models and earlier chapters describe freezing layers. I haven't done both simultaneously, so I don't have any working code.
– from keras import michael
Nov 9 at 21:39
@fromkerasimportmichael thank you I've found another way to solve this problem
– woaisxxd
Nov 29 at 6:53
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I want to design a network using keras like this pic. And there is a problem I need some help. F* is a feature tensor like a sentence or a picture, the shared layers is a block comprise several layers. F* will merge together after passing the shared layer. Then merged feature will pass an output layer. The structure is described below.
The problem is I want to train this network only use F1. Namely, when F2 pass the shared layers, shared layers are frozen.
I would very appreciate if you could answer me with pseudocode.
keras deep-learning artificial-intelligence
asked Nov 9 at 5:17
woaisxxd
277
I want to design a network using keras like this pic. And there is a problem I need some help. F* is a feature tensor like a sentence or a picture, the shared layers is a block comprise several layers. F* will merge together after passing the shared layer. Then merged feature will pass an output layer. The structure is described below.
The problem is I want to train this network only use F1. Namely, when F2 pass the shared layers, shared layers are frozen.
I would very appreciate if you could answer me with pseudocode.
keras deep-learning artificial-intelligence
keras deep-learning artificial-intelligence
asked Nov 9 at 5:17
woaisxxd
277
asked Nov 9 at 5:17
woaisxxd
277
asked Nov 9 at 5:17
woaisxxd
277
asked Nov 9 at 5:17
woaisxxd
277
asked Nov 9 at 5:17
woaisxxd
277
277
Have a look at: github.com/fchollet/deep-learning-with-python-notebooks/blob/…. It is from Chollet's book, which I recommend. This chapter describes merging models and earlier chapters describe freezing layers. I haven't done both simultaneously, so I don't have any working code.
– from keras import michael
Nov 9 at 21:39
@fromkerasimportmichael thank you I've found another way to solve this problem
– woaisxxd
Nov 29 at 6:53
add a comment |
Have a look at: github.com/fchollet/deep-learning-with-python-notebooks/blob/…. It is from Chollet's book, which I recommend. This chapter describes merging models and earlier chapters describe freezing layers. I haven't done both simultaneously, so I don't have any working code.
– from keras import michael
Nov 9 at 21:39
@fromkerasimportmichael thank you I've found another way to solve this problem
– woaisxxd
Nov 29 at 6:53
Have a look at: github.com/fchollet/deep-learning-with-python-notebooks/blob/…. It is from Chollet's book, which I recommend. This chapter describes merging models and earlier chapters describe freezing layers. I haven't done both simultaneously, so I don't have any working code.
– from keras import michael
Nov 9 at 21:39
Have a look at: github.com/fchollet/deep-learning-with-python-notebooks/blob/…. It is from Chollet's book, which I recommend. This chapter describes merging models and earlier chapters describe freezing layers. I haven't done both simultaneously, so I don't have any working code.
– from keras import michael
Nov 9 at 21:39
@fromkerasimportmichael thank you I've found another way to solve this problem
– woaisxxd
Nov 29 at 6:53
@fromkerasimportmichael thank you I've found another way to solve this problem
– woaisxxd
Nov 29 at 6:53
add a comment |
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Have a look at: github.com/fchollet/deep-learning-with-python-notebooks/blob/…. It is from Chollet's book, which I recommend. This chapter describes merging models and earlier chapters describe freezing layers. I haven't done both simultaneously, so I don't have any working code.
– from keras import michael
Nov 9 at 21:39
@fromkerasimportmichael thank you I've found another way to solve this problem
– woaisxxd
Nov 29 at 6:53