sklearn digits dataset with jitter
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Updated
Sep 2, 2021 - Jupyter Notebook
sklearn digits dataset with jitter
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
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
"Introduction to Machine Learning" course 2016
Handwritten digit recognizer AI.
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
Real-time Handwritten Digit Recognition using Python and OpenCV.
Digits Recognition 0-9 Using Hidden Markov Model in in the Subject Speech Processing CS 566 IITG.
Visualization of a neural net learning to recognise digtis
Python program that can "read" digits thanks to deep learning
Noisy MNIST Digits Recognition
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