A simple, easy to use MNIST loader written in Python 3
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Updated
May 13, 2020 - Python
A simple, easy to use MNIST loader written in Python 3
Easy to use CMATERdb datasets converted in NumPy format
Python implementation of a Yatzy score sheet detection using OpenCV, TensorFlow, MNIST
Multiple Handwritten Digit Recognition app Using Deep Learing - CNN from Canvas build on tkinter- GUI
Handwritten digit classification web app using Streamlit
Generate handwritten digits using Gans
Generation of Human-Like handwritten digits using different GAN Architectures. The models were developed using Low-Level Tensorflow.
a OCR for digits using MNIST dataset
Handwritten Digits and Alphabets Recognition using Convolutional Neural Networks
This project offers a simple and intuitive interface for users to input text and generate images that showcase the text in a handwritten style. The generator supports several stylistic modifications including bold, underline, and color alterations, allowing users to create personalized and visually appealing images from their text.
Neural Network to Detect hand written digits using python
Implementation of a Convolutional Neural Network for Handwritten Digit Recognition
Simple application for digit recognition with CNN using four different datasets
Get and solve the handwriting dataset from MNIST
Handwritten Digits Recognition
An application that uses tensorFlow to recognize handwritten numerical digits from MNIST database of handwritten digits.
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