Simple MNIST Handwritten Digit Classification using Pytorch
-
Updated
Jun 1, 2023 - Jupyter Notebook
Simple MNIST Handwritten Digit Classification using Pytorch
It is a Python GUI in which you can draw a digit and the ML Algorithm will recognize what digit it is. We have used Mnist dataset
Binarization Digits of numbers and prepare digits for OCR.
In this part, we developed an interface for Digit Classification using the PyQt5 library in Python.
A "Hello World" ML neural network project features a FastAPI docker image for digit predictions and a React frontend where users can draw digits to see instant predictions
Kaggle Top 4% Project. CNN Based high precise MNIST like Kannada digit recognizer
Building a Neural Network for MNIST Digit Classification from Scratch
TensorFlow2 digits classification - Linear Classifier and MLP
This project uses autoencoders to denoise MNIST images, aiming to improve handwritten digit recognition by refining classifier training data
A Django-based web platform that hosts multiple image classification models under one unified interface. Upload an image and get the predicted result instantly.
Workshops
A simple project that detects handwritten digits with keras
A Simple MNIST Digit Classifier Neural Network that recognises hand-written numerical digits from the MNIST Digit Recogniser Dataset made from scratch* in Python with 7960 trainable parameters...
Code and data for the Digit Recognizer competition on Kaggle.
It is about implementing KNN(K nearest neighbor) on Mnist dataset which contains digit images
Classification of digits based on their Audio Inputs.
In this project, I use Keras and TensorFlow to classify digits and python's Tkinter library to visualize
I have implemented a Conv2d algo to classify the hand made digits data which can be found on Kaggle . Got an accuracy of 99.76. To download the data for this model go to https://www.kaggle.com/c/digit-recognizer
Add a description, image, and links to the digit-classification topic page so that developers can more easily learn about it.
To associate your repository with the digit-classification topic, visit your repo's landing page and select "manage topics."