Optimisation of Image classifier CNN
0
$begingroup$
I built a convolutional neutral network, now I want to optimise the model using genetic algorithm and Bat algorithm. How should I do it?
I am using following packages in code:
tensorflow
numpy
tflearn
>>> model.get_train_vars()
>>>[<tf.Variable 'Conv2D/W:0' shape=(5, 5, 1, 32) dtype=float32_ref>,
<tf.Variable 'Conv2D/b:0' shape=(32,) dtype=float32_ref>,
<tf.Variable 'Conv2D_1/W:0' shape=(5, 5, 32, 64) dtype=float32_ref>,
<tf.Variable 'Conv2D_1/b:0' shape=(64,) dtype=float32_ref>,
<tf.Variable 'Conv2D_2/W:0' shape=(5, 5, 64, 128) dtype=float32_ref>,
<tf.Variable 'Conv2D_2/b:0' shape=(128,) dtype=float32_ref>,
<tf.Variable 'Conv2D_3/W:0' shape=(5, 5, 128, 64) dtype=float32_ref>,
<tf.Variable 'Conv2D_3/b:0' shape=(64,) dtype=float32_ref>,
<tf.Variable 'Conv2D_4/W:0' shape=(5, 5, 64, 32) dtype=float32_ref>,
<tf.Variable 'Conv2D_4/b:0' shape=(32,) dtype=float32_ref>,
<tf.Variable 'FullyConnected/W:0' shape=(32, 1024) dtype=float32_ref>,
<tf.Variable 'FullyConnected/b:0' shape=(1024,) dtype=float32_ref>,
<tf.Variable 'FullyConnected_1/W:0' shape=(1024, 2) dtype=float32_ref>,
<tf.Variable 'FullyConnected_1/b:0' shape=(2,) dtype=float32_ref>]
How to get weights of layer?
python image-classification image-recognition genetic-algorithms image-preprocessing
asked 2 days ago
ajaykumarsingh_._ajaykumarsingh_._
11
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ajaykumarsingh_._ is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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add a comment |
0
$begingroup$
I built a convolutional neutral network, now I want to optimise the model using genetic algorithm and Bat algorithm. How should I do it?
I am using following packages in code:
tensorflow
numpy
tflearn
>>> model.get_train_vars()
>>>[<tf.Variable 'Conv2D/W:0' shape=(5, 5, 1, 32) dtype=float32_ref>,
<tf.Variable 'Conv2D/b:0' shape=(32,) dtype=float32_ref>,
<tf.Variable 'Conv2D_1/W:0' shape=(5, 5, 32, 64) dtype=float32_ref>,
<tf.Variable 'Conv2D_1/b:0' shape=(64,) dtype=float32_ref>,
<tf.Variable 'Conv2D_2/W:0' shape=(5, 5, 64, 128) dtype=float32_ref>,
<tf.Variable 'Conv2D_2/b:0' shape=(128,) dtype=float32_ref>,
<tf.Variable 'Conv2D_3/W:0' shape=(5, 5, 128, 64) dtype=float32_ref>,
<tf.Variable 'Conv2D_3/b:0' shape=(64,) dtype=float32_ref>,
<tf.Variable 'Conv2D_4/W:0' shape=(5, 5, 64, 32) dtype=float32_ref>,
<tf.Variable 'Conv2D_4/b:0' shape=(32,) dtype=float32_ref>,
<tf.Variable 'FullyConnected/W:0' shape=(32, 1024) dtype=float32_ref>,
<tf.Variable 'FullyConnected/b:0' shape=(1024,) dtype=float32_ref>,
<tf.Variable 'FullyConnected_1/W:0' shape=(1024, 2) dtype=float32_ref>,
<tf.Variable 'FullyConnected_1/b:0' shape=(2,) dtype=float32_ref>]
How to get weights of layer?
python image-classification image-recognition genetic-algorithms image-preprocessing
asked 2 days ago
ajaykumarsingh_._ajaykumarsingh_._
11
New contributor
ajaykumarsingh_._ is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
$begingroup$
When you want to optimize with genetic algorithm you should consider using a genetic optimization lib. tensorflow optimizes with hill climbing. You can optimize the weights with an external lib and pass the weights to tensorflow for simple testing and getting a loss value back.
$endgroup$
– Andreas Look
2 days ago
$begingroup$
I got the weights of model. Now how should I use GA for optimaztion? If any resource available will be helpful. Thank you.
$endgroup$
– ajaykumarsingh_._
yesterday
add a comment |
0
0
0
$begingroup$
I built a convolutional neutral network, now I want to optimise the model using genetic algorithm and Bat algorithm. How should I do it?
I am using following packages in code:
tensorflow
numpy
tflearn
>>> model.get_train_vars()
>>>[<tf.Variable 'Conv2D/W:0' shape=(5, 5, 1, 32) dtype=float32_ref>,
<tf.Variable 'Conv2D/b:0' shape=(32,) dtype=float32_ref>,
<tf.Variable 'Conv2D_1/W:0' shape=(5, 5, 32, 64) dtype=float32_ref>,
<tf.Variable 'Conv2D_1/b:0' shape=(64,) dtype=float32_ref>,
<tf.Variable 'Conv2D_2/W:0' shape=(5, 5, 64, 128) dtype=float32_ref>,
<tf.Variable 'Conv2D_2/b:0' shape=(128,) dtype=float32_ref>,
<tf.Variable 'Conv2D_3/W:0' shape=(5, 5, 128, 64) dtype=float32_ref>,
<tf.Variable 'Conv2D_3/b:0' shape=(64,) dtype=float32_ref>,
<tf.Variable 'Conv2D_4/W:0' shape=(5, 5, 64, 32) dtype=float32_ref>,
<tf.Variable 'Conv2D_4/b:0' shape=(32,) dtype=float32_ref>,
<tf.Variable 'FullyConnected/W:0' shape=(32, 1024) dtype=float32_ref>,
<tf.Variable 'FullyConnected/b:0' shape=(1024,) dtype=float32_ref>,
<tf.Variable 'FullyConnected_1/W:0' shape=(1024, 2) dtype=float32_ref>,
<tf.Variable 'FullyConnected_1/b:0' shape=(2,) dtype=float32_ref>]
How to get weights of layer?
python image-classification image-recognition genetic-algorithms image-preprocessing
asked 2 days ago
ajaykumarsingh_._ajaykumarsingh_._
11
New contributor
ajaykumarsingh_._ is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I built a convolutional neutral network, now I want to optimise the model using genetic algorithm and Bat algorithm. How should I do it?
I am using following packages in code:
tensorflow
numpy
tflearn
>>> model.get_train_vars()
>>>[<tf.Variable 'Conv2D/W:0' shape=(5, 5, 1, 32) dtype=float32_ref>,
<tf.Variable 'Conv2D/b:0' shape=(32,) dtype=float32_ref>,
<tf.Variable 'Conv2D_1/W:0' shape=(5, 5, 32, 64) dtype=float32_ref>,
<tf.Variable 'Conv2D_1/b:0' shape=(64,) dtype=float32_ref>,
<tf.Variable 'Conv2D_2/W:0' shape=(5, 5, 64, 128) dtype=float32_ref>,
<tf.Variable 'Conv2D_2/b:0' shape=(128,) dtype=float32_ref>,
<tf.Variable 'Conv2D_3/W:0' shape=(5, 5, 128, 64) dtype=float32_ref>,
<tf.Variable 'Conv2D_3/b:0' shape=(64,) dtype=float32_ref>,
<tf.Variable 'Conv2D_4/W:0' shape=(5, 5, 64, 32) dtype=float32_ref>,
<tf.Variable 'Conv2D_4/b:0' shape=(32,) dtype=float32_ref>,
<tf.Variable 'FullyConnected/W:0' shape=(32, 1024) dtype=float32_ref>,
<tf.Variable 'FullyConnected/b:0' shape=(1024,) dtype=float32_ref>,
<tf.Variable 'FullyConnected_1/W:0' shape=(1024, 2) dtype=float32_ref>,
<tf.Variable 'FullyConnected_1/b:0' shape=(2,) dtype=float32_ref>]
How to get weights of layer?
python image-classification image-recognition genetic-algorithms image-preprocessing
python image-classification image-recognition genetic-algorithms image-preprocessing
asked 2 days ago
ajaykumarsingh_._ajaykumarsingh_._
11
New contributor
ajaykumarsingh_._ is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 days ago
ajaykumarsingh_._ajaykumarsingh_._
11
New contributor
ajaykumarsingh_._ is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited yesterday
ajaykumarsingh_._
asked 2 days ago
ajaykumarsingh_._ajaykumarsingh_._
11
New contributor
ajaykumarsingh_._ is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 days ago
ajaykumarsingh_._ajaykumarsingh_._
11
asked 2 days ago
ajaykumarsingh_._ajaykumarsingh_._
11
11
New contributor
ajaykumarsingh_._ is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
ajaykumarsingh_._ is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
ajaykumarsingh_._ is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$begingroup$
When you want to optimize with genetic algorithm you should consider using a genetic optimization lib. tensorflow optimizes with hill climbing. You can optimize the weights with an external lib and pass the weights to tensorflow for simple testing and getting a loss value back.
$endgroup$
– Andreas Look
2 days ago
$begingroup$
I got the weights of model. Now how should I use GA for optimaztion? If any resource available will be helpful. Thank you.
$endgroup$
– ajaykumarsingh_._
yesterday
add a comment |
$begingroup$
When you want to optimize with genetic algorithm you should consider using a genetic optimization lib. tensorflow optimizes with hill climbing. You can optimize the weights with an external lib and pass the weights to tensorflow for simple testing and getting a loss value back.
$endgroup$
– Andreas Look
2 days ago
$begingroup$
I got the weights of model. Now how should I use GA for optimaztion? If any resource available will be helpful. Thank you.
$endgroup$
– ajaykumarsingh_._
yesterday
$begingroup$
When you want to optimize with genetic algorithm you should consider using a genetic optimization lib. tensorflow optimizes with hill climbing. You can optimize the weights with an external lib and pass the weights to tensorflow for simple testing and getting a loss value back.
$endgroup$
– Andreas Look
2 days ago
$begingroup$
When you want to optimize with genetic algorithm you should consider using a genetic optimization lib. tensorflow optimizes with hill climbing. You can optimize the weights with an external lib and pass the weights to tensorflow for simple testing and getting a loss value back.
$endgroup$
– Andreas Look
2 days ago
$begingroup$
I got the weights of model. Now how should I use GA for optimaztion? If any resource available will be helpful. Thank you.
$endgroup$
– ajaykumarsingh_._
yesterday
$begingroup$
I got the weights of model. Now how should I use GA for optimaztion? If any resource available will be helpful. Thank you.
$endgroup$
– ajaykumarsingh_._
yesterday
add a comment |
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$begingroup$
When you want to optimize with genetic algorithm you should consider using a genetic optimization lib. tensorflow optimizes with hill climbing. You can optimize the weights with an external lib and pass the weights to tensorflow for simple testing and getting a loss value back.
$endgroup$
– Andreas Look
2 days ago
$begingroup$
I got the weights of model. Now how should I use GA for optimaztion? If any resource available will be helpful. Thank you.
$endgroup$
– ajaykumarsingh_._
yesterday