A Machine Learning classifier for recognizing the digits for humans 🎰
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Updated
Jun 9, 2025 - Python
A Machine Learning classifier for recognizing the digits for humans 🎰
Attention mechanism with MNIST dataset
A project I made to practice my newfound Neural Network knowledge - I used Python and Numpy to train a network to recognize MNIST images. Adam and mini-batch gradient descent implemented
Recognize Digits
Trying to build a Neural Network from scratch (no Tensorflow/Pytorch, just numpy & math)
Can recognize the handwriting mostly(only) numbers with accuracy using ML & dataset with GUI to write numbers.
kaggle比赛—手写数字识别,比赛链接https://www.kaggle.com/c/digit-recognizer
A simple Digit Recognizer using the inbuilt dataset in TensorFlow.
A neural-network based handwritten digit recognition system, coded from scratch.
MNIST Digit Recognizer from Kaggle
This is a neural network designed to train on the MNIST data set for recognizing handwritten digits.
The final experiment of machine learning 24, spring in HUST.
A basic Digit recognizer system tested on MNSIT's database of handwritten digits .
Contains basic model for digit recognition using CNN
Numerical Methods: "Handwritten Digit Recognition" Group Project - 2nd Semester 2021 - Computer Science, UBA
An implementation of multiclass perceptron as a digit recognizer
Digit Recognizer Using Convolution Neural Network
Simple CNN for recognizing hand written digits
Hand Written Digit-recognizer build with Tensorflow and Numpy. The interface for this module is built with Gradio.
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