0

Recognizing Handwritten Arabic Characters Using a Convolution #NeuralNetwork, Deeplearning4j Library | #Java #JVM

Interesting post from Taha Emara using Java Dev Kit 8, Netbeans, and his own GitHub repo for recognizing handwritten Arabic characters to implement a convolutional neural network whose original abstract was proposed in this paper.

Due to the variety of human handwritten styles, the handwritten character recognition system faces some challenges. The authors of the paper (Arabic Handwritten Characters Recognition using Convolutional Neural Network) I built my work on it, introduce a suggested model for the handwritten Arabic character recognition problem using Convolution Neural Network (CNN). They trained their network on a dataset contains 16800 examples of hand written Arabic characters and it gave them an accuracy of 94.9% on testing data.

Read more.


Join 4,000+ makers on Adafruit’s Discord channels and be part of the community! http://adafru.it/discord

Learn “How Computers Work” with Bill Gates, Ladyada and more – From Code.org !

CircuitPython in 2018 – Python on Microcontrollers is here!

Have an amazing project to share? Join the SHOW-AND-TELL every Wednesday night at 7:30pm ET on Google+ Hangouts.

Join us every Wednesday night at 8pm ET for Ask an Engineer!

Follow Adafruit on Instagram for top secret new products, behinds the scenes and more https://www.instagram.com/adafruit/


Maker Business — Pololu’s New Machines

Wearables — Mystical elements

Electronics — Disable unused channels!

Biohacking — Two Blood Meters to Start Your Biohacking Adventure

Get the only spam-free daily newsletter about wearables, running a "maker business", electronic tips and more! Subscribe at AdafruitDaily.com !



No Comments

No comments yet.

Sorry, the comment form is closed at this time.