Identifies handwritten digits using dense and convolutional neural nets on digit image data.
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Updated
Jul 27, 2024 - Python
Identifies handwritten digits using dense and convolutional neural nets on digit image data.
A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset
Using OpenCV in python to recognize digits in a scanned page of handwritten digits.
Digit recognition project in Python
The final experiment of machine learning 24, spring in HUST.
A numpy implementation of a digit recognition neural network, and a tensorflow implementation!
Program for reading and displaying embossed expiration date from cream tubes. Writen in Python using OpenCV library
Training a sequential model to classify handwritten digits by using the mnist dataset and creating a interface to classify your own handwritten digits.
Using Hopfield Neural Networks to recognise digits 0 - 9. Testing the Hebbian Training Method vs the Storkey Training Method.
RealTime DigitRecognition using Convolutional Neural Network(CNN) with keras.
It's a digit recognition Machine Learning model with Tensorflow.
Application for digit recognizing. Made using tensorflow and keras as a final work.
This project uses Tesseract, an open-source OCR engine, to recognize digits from an image. Tesseract is trained on a dataset of images containing digits and used to extract the digits from a given image. The output is a set of recognized digits that can be used for further processing or analysis.
Implementation of classical Machine Learning algorithms for digit recognition on MNIST dataset
A simple MLN to recognise a handwritten digit completley build from scratch.
Recognizing Hand Written Digits using SVM
A Step by Step guide to design a Convolutional neural network
Digit Capcha Detection with Faster-RCNN
[ECE NTUA] Pattern Recognition - Course projects (2021-2022)
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