sklearn digits dataset with jitter
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Updated
Sep 2, 2021 - Jupyter Notebook
sklearn digits dataset with jitter
Testing repository for digit classification convolutional network
The handwritten digit recognition is the solution to this problem which uses the image of a digit and recognizes the digit present in the image.
Simple perceptron to recognize handwritten digits and application to demonstrate this ability
The handwritten digit recognition is the ability of computers to recognize human handwritten digits. It is a hard task for the machine because handwritten digits are not perfect and can be made with many different classifier model
"Introduction to Machine Learning" course 2016
It can recognize Digits from 0 to 9. Used Local Binary Pattern (LBP) and Support Vector Machine (SVM).
Vision Transformers in PyTorch MNIST Handwritten Digit Recognition
Handwritten digit recognizer AI.
Digit recognition (MNIST dataset) using a fully connected neural network (97+ on test)
Implementation of multinomial logistic regression, tested on iris, digits, and cifar datasets
Deep Learning - Digits Recognition using HAM (NN)
This program will train several time an ai model in order to make it predict handwritten digits
Project for Emerging Technology
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