digit-recognition-application

There are 0 repository under digit-recognition-application topic.

neeru1207 / AI_Sudoku
GUI based Smart Sudoku Solver that tries to extract a sudoku puzzle from a photo and solve it
opencv-python cv2 image-processing image-segmentation cnn cnn-tensorflow knn-classification knn-classifier hough-transform hough-lines hough-line-transform blob-detection gui tkinter-gui tkinter-python digital-image-processing digit-recognition-application sudoku-solver sudoku-grabber machine-learning
Language:Python 992
sunnysoni97 / hand_reader
Handwriting Recognition Software (Python/AI/kivy)
python3 ai kivy-application tensorflow opencv opencv-python softmax-regression mnsit-database optical-character-recognition digit-recognition-application
Language:Python 4
GMarzinotto / Leap-Motion-Gestures
A MATLAB Toolbox to perform Gesture Recognition on the Leap Motion. Adapted to a Digit Recognition Application
leap-motion matlab-toolbox digit-recognition-application gesture-recognition
Language:MATLAB 3
IIsameerII / Handwritten-Digit-Recognition-from-MNIST-Dataset
This project uses TinyVGG and Streamlit to classify handwritten digits.
digit-recognition-mnist pytorch cnn-pytorch computer-vision digit-recognition-application digit-recognition-problem neural-network python3 deep-learning deep-learning-algorithms multiclass-image-classification opencv-python
Language:Python 3
greenDev7 / DigitRecognitionCanvas
Created with CodeSandbox
vue vuejs activation-functions backpropagation backpropagation-algorithm backpropagation-learning-algorithm deep-learning digit-recognition digit-recognition-application digit-recognition-problem handwritten-digit-recognition machine-learning machine-learning-algorithms mnist mnist-classification mnist-dataset mnist-handwriting-recognition neural-network perceptron perceptron-learning-algorithm
Language:Vue 1
hrugved06 / RealTime-Digit-Recognizer
This is a RealTime-MultiplevDigitRecognition application that can predict output corresponding to handwritten images. Here, I used LinearSVC(support vector classifier) and the sequential model of Keras for creating this predictive model. I trained SVC and reshaped it to the 28X28 MNIST dataset, the accuracy of this model turned out to be very good when I run this model.
digit-recognition digit-recognition-application machine-learning mnist-dataset
Language:Python 1
Saadmairaj / Digit-Recognition
This is a Machine Learning Model based on the Keras algorithm that can Recognise Hand-Written digits from this model and can also Train more.
tensorflow tensorflow-examples python keras-tensorflow machine-learning tkinter-gui digit-recognition-application
Language:Python 1
greenDev7 / NeuralNetwork
Реализация алгоритма обратного распространения ошибки для обучения нейронной сети для распознавания рукописных цифр
digit-recognition-problem digit-recognition-application activation-functions backpropagation backpropagation-algorithm backpropagation-learning-algorithm backpropagation-neural-network digit-recognition-mnist handwriting-recognition handwritten-digit-recognition learning-rate mnist mnist-classification mnist-dataset mnist-handwriting-recognition mnist-image-dataset perceptron perceptron-learning-algorithm deep-learning deep-neural-networks
Language:C# 0
ksengottuvel / digit_recognize
Code from https://gogul09.github.io/software/digits-recognition-mlp
python tensorflow keras numpy machine-learning digit-recognition digit-recognition-application digit-recognizer
Language:Python 0