Real-time Sudoku Solver

  • 2018-05-19
  • Taha Emara
  • Computer Vision, Deep Learning, Machine Learning, Deeplearning4j, Opencv, Java

In this post, we will learn how to solve a printed sudoku solver using a real-time feed from a camera.

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digit-recognition

Handwritten Multi-digit String Segmentation and Recognition using Deep Learning

  • 2018-02-17
  • Taha Emara
  • Opencv, Machine Learning, Deeplearning4j, Deep Learning, Java

In this post, we will learn how to develop an application to segment a handwritten multi-digit string image and recognize the segmented digits using deep learning.

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Arabic Handwritten Characters Recognition using Deeplearning4j

  • 2017-10-18
  • Taha Emara
  • Deeplearning4j, Machine Learning, Java, Deep Learning

In this post, I introduce an implementation of a proposed CNN design for Arabic handwritten characters recognition.

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Realtime Driver Drowsiness Detection (Sleep Detection)

  • 2017-09-12
  • Taha Emara
  • Opencv, Machine Learning, Dlib, Deep Learning, Computer Vision

In this post, I introduce an app for realtime driver drowsiness detection (Sleep Detection) using facial landmarks.

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Weka Java example

How to use Weka in your Java code

In this post, I will explain how to generate a model from ARFF dataset file and how to classify a new instance with this model using Weka API in Java.

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Object recognition using TensorFlow and Java

Using TensorFlow and Inception-v3 model, I built this small demo in Java to recognize objects in images and classify it into 1000 classes like Lion, Frog, Flowers, ....etc.

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Hnadwritten digit classififcation

Handwritten digit classification using K-nearest neighbors algorithm

One of the most important aims of machine learning is to classify data into classes. For example, classifying an email to be spam or ham, a tumor is a malignant or benign, or classifying handwritten digits into one of the 10 classes.

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