A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset
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Updated
Jul 9, 2024 - Python
A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset
A Machine Learning classifier for recognizing the digits for humans 🎰
RealTime DigitRecognition using Convolutional Neural Network(CNN) with keras.
Using OpenCV in python to recognize digits in a scanned page of handwritten digits.
Recognition of sequence of digits using tensorflow
Recognize handwritten digits using back-propagation algorithm on MNIST data-set
Attention mechanism with MNIST dataset
Training an ANN and a CNN to recognize handwritten digits using back-propagation algorithm on MNIST data-set
Handwritten Digit Recognition using Softmax Regression in Python
Persian Handwriting Digit Recognition
Flask Blueprint & RESTful application with various image classification models.
Algorithmically generating Bengali digits and classification using MobileNetV2 for Bangladeshi license plate detection
Bunch of Computer Vision Projects
Digits and Capital Alphabets recognition using cnn with tensorflow
A program where you can draw something without a keyboard or a mouse. It does not end here, it will give a random integer to draw, the Neural Network will predict the digit that you drew. The whole program works like a game.
Recognize Digits
Built using Keras, Tensorflow and Tkinter (GUI) libraries in Python
Hand-Drawn Digit Recognition with Keras & Flask
MNIST Classification using Neural Network and Back Propagation. Written in Python and depends only on Numpy
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