This is a neural network designed to train on the MNIST data set for recognizing handwritten digits.
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Updated
May 4, 2017 - Python
This is a neural network designed to train on the MNIST data set for recognizing handwritten digits.
kaggle比赛—手写数字识别,比赛链接https://www.kaggle.com/c/digit-recognizer
Simple CNN for recognizing hand written digits
A basic Digit recognizer system tested on MNSIT's database of handwritten digits .
This is digit classifier. In this machine learning project machine will scan an Image and give the corresponding digit from the trained Data Set. The Image should be Black and White. Another project is to predict future of a company based on the dataset provided and using pattern recognition machine learning.
Deep Learning project with MNIST dataset to help machines recognizing handwritten digits
Recognize Digits
A neural-network based handwritten digit recognition system, coded from scratch.
Hand Written Digit-recognizer build with Tensorflow and Numpy. The interface for this module is built with Gradio.
Contains basic model for digit recognition using CNN
Digit Recognizer Using Convolution Neural Network
Attention mechanism with MNIST dataset
Can recognize the handwriting mostly(only) numbers with accuracy using ML & dataset with GUI to write numbers.
An implementation of multiclass perceptron as a digit recognizer
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
Trying to build a Neural Network from scratch (no Tensorflow/Pytorch, just numpy & math)
A Machine Learning classifier for recognizing the digits for humans 🎰
Numerical Methods: "Handwritten Digit Recognition" Group Project - 2nd Semester 2021 - Computer Science, UBA
A simple Digit Recognizer using the inbuilt dataset in TensorFlow.
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