handwriting-recognition | recognize handwritten digits | Machine Learning library

by marcvanzee Java Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | handwriting-recognition Summary

handwriting-recognition is a Java library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. handwriting-recognition has no bugs, it has no vulnerabilities and it has high support. However handwriting-recognition build file is not available. You can download it from GitHub.

Learning to recognize handwritten digits using a Neural Network

Support

Quality

Security

License

Reuse

Support

handwriting-recognition has a highly active ecosystem.

It has 7 star(s) with 6 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

handwriting-recognition has no issues reported. There are no pull requests.

It has a positive sentiment in the developer community.

The latest version of handwriting-recognition is current.

Quality

handwriting-recognition has no bugs reported.

Security

handwriting-recognition has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

handwriting-recognition does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

handwriting-recognition releases are not available. You will need to build from source code and install.

handwriting-recognition has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed handwriting-recognition and discovered the below as its top functions. This is intended to give you an instant insight into handwriting-recognition implemented functionality, and help decide if they suit your requirements.

Initializes the GUI
Add training settings
Add the algorithm specifications
Add topology
Invoked when the user selects a file
Starts the test
Get the network layers
Starts the training process
The main loop
Propagate the error value back to the network
Enable all items
Propagates the input Nodes of the LineLayer to the output nodes
Connects the lines to the output layers
Builds a line from the layers of the network
Run the algorithm
Add the given network layers
Called when the item state changes
Initializes the momentum vector
Connects two layers together
Initialize the weights of the Line
Initializes counters

Get all kandi verified functions for this library.

handwriting-recognition Key Features

No Key Features are available at this moment for handwriting-recognition.

handwriting-recognition Examples and Code Snippets

No Code Snippets are available at this moment for handwriting-recognition.

Community Discussions

Trending Discussions on handwriting-recognition

Google Chrome version 91 causing legacy JSP with Struts to lose data and formatting

PyQt5 - Show virtual keyboard

QUESTION

Google Chrome version 91 causing legacy JSP with Struts to lose data and formatting

Asked 2021-Jun-11 at 18:03

UPDATE IN ANSWER BELOW

Is anyone else experiencing the newest couple versions of chrome causing issues with legacy Java applications? Just yesterday I needed to get the company's policy manager to allow downloading files from an internal unsecured server by adding our URLs to a whitelist - you can see the details of the process on the chromium blog here. That issue was present in v90 as well.

What I'm currently experiencing due to the v91 update is as follows: My boss was trying to use a page in one of our Java 6 legacy applications and he noticed that the page wouldn't return the data in any format - we checked and he was already v91. I was on v90 and the page worked fine. After updating Chrome to v91, I'm getting the same broken page as my boss.

I was thinking it might be something related to the CSS but I don't have time to poke at it and redeploy the legacy app every time to test the changes. Though, I have taken a peek at this chromium blog post for version 91. Though I don't see much relating to what may have caused the removal of all non-label fields and the formatting of the label fields are all wonky and out of place.

I'm going to look into investigating the struts tile that holds the code JSP code; if I find something I'll post it here for reference.

The first image below is what one row should look like with the header above it. As you see in the second picture, all there is the header with improper formatting and the grid is gone.

...

ANSWER

Answered 2021-Jun-10 at 21:45

I have determined the problem to be the

here tag. In the newest version (v91) of Chrome, the table rendering engine has been rewritten. the notes are here and if you want the in-depth documentation, is the link to the Google Doc that the developers wrote. Basically, the old way of rendering tables has become obsolete and the

Workaround: Disable the chrome flag named Enable TableNG and restart your browser.

Addition: I found chromestatus, a website that shows new features being added, deprecations, etc.

tag is now defunct.

Source https://stackoverflow.com/questions/67829181

QUESTION

PyQt5 - Show virtual keyboard

Asked 2020-Sep-23 at 05:37

I'm trying to figure out how to use a virtual keyboard for a touchscreen, using python 3.8 and PyQt5 on Windows.

I saw that Qt had his own plugin QtVirtualKeyboard. I pretty much followed what has been done in this link, first installing Qt 5.15 with the Virtual Keyboard support, and then setting up the environment variables.

A simple code example would be this :

...

ANSWER

Answered 2020-Sep-03 at 08:33

First, be the binaries associated with Qt VirtualKeyboard, and to not install Qt I have used aqtinstall(In this example Qt 5.15 was installed but it is recommended to use the same version that was used to compile pyqt5: python -c "from PyQt5.QtCore import QT_VERSION_STR; print('Qt version', QT_VERSION_STR)"):

Source https://stackoverflow.com/questions/62473386

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install handwriting-recognition

You can download it from GitHub.
You can use handwriting-recognition 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 handwriting-recognition 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 .

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: