Is there any method to 'combine layers' in tensorflow?
Let me explain my question:
I assume that there are some(more than one) tensorflow layers like below:
import tensorflow as tf
x = tf.placeholder(tf.float32,[1,64,64,3])
conv_layer_1 = tf.layers.Conv2D(16,[3,3])
conv_layer_2 = tf.layers.Conv2D(16,[3,3])
Is there any method to combine these layers to one tf.Layer object?That means:
# conv_layer is the combined result
# conv_layer(x) is equal to conv_layer2(conv_layer1(x))
conv_layer = some_function([conv_layer1,conv_layer2])
Currently I use a ugly method:
class MyLayer(tf.Layer)
......
def combine(layers_list):
self.layers_list += layers_list
def __call__(x):
for layer in self.layers:
y = layer(y)
return y
tensorflow deep-learning
add a comment |
Let me explain my question:
I assume that there are some(more than one) tensorflow layers like below:
import tensorflow as tf
x = tf.placeholder(tf.float32,[1,64,64,3])
conv_layer_1 = tf.layers.Conv2D(16,[3,3])
conv_layer_2 = tf.layers.Conv2D(16,[3,3])
Is there any method to combine these layers to one tf.Layer object?That means:
# conv_layer is the combined result
# conv_layer(x) is equal to conv_layer2(conv_layer1(x))
conv_layer = some_function([conv_layer1,conv_layer2])
Currently I use a ugly method:
class MyLayer(tf.Layer)
......
def combine(layers_list):
self.layers_list += layers_list
def __call__(x):
for layer in self.layers:
y = layer(y)
return y
tensorflow deep-learning
add a comment |
Let me explain my question:
I assume that there are some(more than one) tensorflow layers like below:
import tensorflow as tf
x = tf.placeholder(tf.float32,[1,64,64,3])
conv_layer_1 = tf.layers.Conv2D(16,[3,3])
conv_layer_2 = tf.layers.Conv2D(16,[3,3])
Is there any method to combine these layers to one tf.Layer object?That means:
# conv_layer is the combined result
# conv_layer(x) is equal to conv_layer2(conv_layer1(x))
conv_layer = some_function([conv_layer1,conv_layer2])
Currently I use a ugly method:
class MyLayer(tf.Layer)
......
def combine(layers_list):
self.layers_list += layers_list
def __call__(x):
for layer in self.layers:
y = layer(y)
return y
tensorflow deep-learning
Let me explain my question:
I assume that there are some(more than one) tensorflow layers like below:
import tensorflow as tf
x = tf.placeholder(tf.float32,[1,64,64,3])
conv_layer_1 = tf.layers.Conv2D(16,[3,3])
conv_layer_2 = tf.layers.Conv2D(16,[3,3])
Is there any method to combine these layers to one tf.Layer object?That means:
# conv_layer is the combined result
# conv_layer(x) is equal to conv_layer2(conv_layer1(x))
conv_layer = some_function([conv_layer1,conv_layer2])
Currently I use a ugly method:
class MyLayer(tf.Layer)
......
def combine(layers_list):
self.layers_list += layers_list
def __call__(x):
for layer in self.layers:
y = layer(y)
return y
tensorflow deep-learning
tensorflow deep-learning
edited Nov 22 '18 at 10:22
Dulmina
211110
211110
asked Nov 22 '18 at 9:12
LiShaoyuanLiShaoyuan
365
365
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
You can use tf.layers.concatenate for this case
For more details visit tensorflow site https://www.tensorflow.org/api_docs/python/tf/keras/layers/concatenate
tf.keras.layers.concatenate is similar with tf.layers.concat which is used for tensor instead of layer.
– LiShaoyuan
Nov 22 '18 at 10:33
add a comment |
Your Answer
StackExchange.ifUsing("editor", function () {
StackExchange.using("externalEditor", function () {
StackExchange.using("snippets", function () {
StackExchange.snippets.init();
});
});
}, "code-snippets");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "1"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53427362%2fis-there-any-method-to-combine-layers-in-tensorflow%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
You can use tf.layers.concatenate for this case
For more details visit tensorflow site https://www.tensorflow.org/api_docs/python/tf/keras/layers/concatenate
tf.keras.layers.concatenate is similar with tf.layers.concat which is used for tensor instead of layer.
– LiShaoyuan
Nov 22 '18 at 10:33
add a comment |
You can use tf.layers.concatenate for this case
For more details visit tensorflow site https://www.tensorflow.org/api_docs/python/tf/keras/layers/concatenate
tf.keras.layers.concatenate is similar with tf.layers.concat which is used for tensor instead of layer.
– LiShaoyuan
Nov 22 '18 at 10:33
add a comment |
You can use tf.layers.concatenate for this case
For more details visit tensorflow site https://www.tensorflow.org/api_docs/python/tf/keras/layers/concatenate
You can use tf.layers.concatenate for this case
For more details visit tensorflow site https://www.tensorflow.org/api_docs/python/tf/keras/layers/concatenate
answered Nov 22 '18 at 9:19
DulminaDulmina
211110
211110
tf.keras.layers.concatenate is similar with tf.layers.concat which is used for tensor instead of layer.
– LiShaoyuan
Nov 22 '18 at 10:33
add a comment |
tf.keras.layers.concatenate is similar with tf.layers.concat which is used for tensor instead of layer.
– LiShaoyuan
Nov 22 '18 at 10:33
tf.keras.layers.concatenate is similar with tf.layers.concat which is used for tensor instead of layer.
– LiShaoyuan
Nov 22 '18 at 10:33
tf.keras.layers.concatenate is similar with tf.layers.concat which is used for tensor instead of layer.
– LiShaoyuan
Nov 22 '18 at 10:33
add a comment |
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53427362%2fis-there-any-method-to-combine-layers-in-tensorflow%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown