No vowels after here
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Updated
Jan 4, 2020 - Java
No vowels after here
A machine learning project for letter recognition using SVM, KNN, and Decision Tree, Random Forest, and Naive Bayes algorithms. Includes data preprocessing, model training, evaluation, and visualization, and research report.
Letter naming fluency is a great indicator of risk and a strong predictor of reading success for young students. This app generates lists of letters that educators can use in the classroom for this important assessment.
TensorFlow/Keras-based Russian cursive letter recognition
A simple web application for blazing-fast letter recognition
📺 Letter recognition [👨🏫 Teacher: Киселев Александр Викторович] {6️⃣ Semester} (Artificial intelligence)
Alphabet recognition
EEG Introduction and mind letter recognition system made by 3 students.
Computer Programming 1 Assignments, Activities, Quizzes and Projects
ℹ️ Application of Machine Learning techniques to identify randomly distorted capital letters in the English alphabet.
Evaluation of different classification techniques on OCR data
Marathi-Letter-Recognition-ConvNet This project is Deep Learning Web Interfaced character recognition project. For sake of simplicity flask backend is used to minimize complexities. Basic working include you can draw the character on the canvas and system will detect the character. Tools used : Jupyter Notebooks - Model Building , Data analysis …
Android TensorFlow Lite-based app for my Russian cursive letter recognition ML model
This application allows you to practice writing letters and checks if you have written correct using neural networks
Structural Pattern Recognition home tasks: recognition of a line with letters containing noise and calculation of Levanstain distance between two lines of text
Experiment to create an artificial neural network in Typescript to recognize capital letters.
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