Bidirectio | 结合图片上下左右滑放大的图片预览 | Reactive Programming library
kandi X-RAY | Bidirectio Summary
kandi X-RAY | Bidirectio Summary
结合图片上下左右滑放大的图片预览
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Top functions reviewed by kandi - BETA
- Sets the last touch event
- Returns the item information for the current scroll position
- Invoked when the current page is scrolled
- Intercept the touch gesture
- Check to see if the current page has focusable
- Get ItemInfo for a given child view
- Initializes the ActivityBar
- On create view
- Initialize views
- This method is used to instantiate the pager
- From Observable
- Add focusables to this view
- Add the view at the specified index
- Override this method to set the size of the view
- Computes the scroll offset
- Region View
- Override this method to check if the layout has been changed
- Puts the state of the saved state
- Start a fake drag
- Ends a fake drag
- Faces a drag by a given offset
- Override to perform the onDraw operation
- Override method to render the adapter
- Called when the data set has changed
- Initializes viewpager
- Saves the saved state
Bidirectio Key Features
Bidirectio Examples and Code Snippets
Community Discussions
Trending Discussions on Bidirectio
QUESTION
I am following the self attention in Keras in the following link How to add attention layer to a Bi-LSTM
I want to apply BI LSTM for multi class text classification with 3 classes.
I try o apply the attention in my code, but I got the error below, how can I solve this problem? can anyone help me please?
...ANSWER
Answered 2020-Nov-24 at 11:34pay attention to how you set the return_sequence param in the LSTM and attention layers
your output is 2D so the last return sequence must be set to False while the others must be set to True
Your model must be
QUESTION
There is Bidirectional LSTM model, I don't understand why after the second implementation of model2.add(Bidirectional(LSTM(10, recurrent_dropout=0.2))), in the result we get 2 dimension (None, 20) but in the first bi directionaL LSTM we have (None, 409, 20). can anyone help me please? and also how can I add a self attention layer in the model?
...ANSWER
Answered 2020-Nov-09 at 04:48For the second Bidirectional-LSTM, by default, return_sequences is set to False. Therefore, the output of this layer will be like many-to-one. If you want to get the output of each time_step, then simply use model2.add(Bidirectional(LSTM(10, return_sequences=True , recurrent_dropout=0.2))).
For attention mechanism in LSTM, you may refer to this and this links.
QUESTION
I'm very new to DL and I've been trying to use a seq2seq model to classify text (sentiment analysis) from this repo. The dataset I've used is amazon review polarity (first 2000 rows).Data-set basically consists of labels and corresponding text. My model is as follows:
...ANSWER
Answered 2020-Mar-13 at 09:15After experimenting around a little, I realised that I'd been trying to use a 2D input while the actual code was using 3D input. I referred this question which had an almost similar query and the solution to my query.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install Bidirectio
You can use Bidirectio like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the Bidirectio component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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