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#

mnist-image-dataset

Here are 88 public repositories matching this topic...

Classify MNIST image dataset into 10 classes. Build an image classifier with Recurrent Neural Network (RNN: LSTM) on Tensorflow.

  • UpdatedFeb 10, 2017
  • Python

An Intuitive Desktop GUI Application For Recognizing Multiple Handwritten Digits Drawn At The Same Time. Trained On MNIST Dataset and Built With Python, OpenCV and TKinter

  • UpdatedApr 7, 2021
  • Python

MNIST accelerator using binary qunatization on Xilinx pynq-z2

  • UpdatedSep 4, 2024
  • C++

A Web Application Built with Flask and Python that reads images containing numbers with the Help of Tensor-flow should recognize each digit from 0 to 9

  • UpdatedDec 4, 2017
  • HTML

A Generative Adversarial Network (GAN) trained on the MNIST dataset, capable of creating fake but realistic looking MNIST digit images that appear to be drawn from the original dataset.

  • UpdatedAug 30, 2023
  • Jupyter Notebook
food_mnist

This dataset has 10 food categories, with 5,000 images. For each class, 125 manually reviewed test images are provided as well as 375 training images. All images were rescaled to have a maximum side length of 512 pixels.

  • UpdatedJun 22, 2019
  • Jupyter Notebook

Derin Öğrenme kullanarak el yazısıyla yazılmış rakamları tanımak için yazılmış bir Flask uygulamasıdır.

  • UpdatedDec 5, 2020
  • HTML

I created a Deep Learning Model which can do multiple task at a same time using tensorflow and keras.

  • UpdatedJul 18, 2022
  • Jupyter Notebook

"THE MNIST DATABASE of handwritten digits" DataReaderhttp://yann.lecun.com/exdb/mnist/

  • UpdatedJun 16, 2018
  • C#

Convert data in IDX format in MNIST Dataset to Numpy Array using Python

  • UpdatedSep 10, 2020
  • Jupyter Notebook

Extract MNIST handwritten digits dataset binary file into bmp images

  • UpdatedMay 10, 2021
  • Python

Download and load MNIST data from R

  • UpdatedOct 13, 2017
  • R

simple neural network with simple project

  • UpdatedJul 30, 2023
  • Jupyter Notebook

基于TibetanMNIST图像分类与图像匹配

  • UpdatedNov 17, 2020
  • Python

DigiPic-Classifier is a powerful image classification app built with Streamlit. It features two models: CIFAR-10 Object Recognition to classify objects like airplanes, cars, animals, and more, and MNIST Digit Classification for recognizing handwritten digits. With a sleek interface and real-time predictions, DigiPic-Classifier offers a seamless

  • UpdatedOct 5, 2024
  • Jupyter Notebook

Implementing GAN for two different datasets with PyTorch.

  • UpdatedOct 7, 2022
  • Jupyter Notebook

Detecting digits on the image using Convolution Neural Networks

  • UpdatedJul 27, 2017
  • Python

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