Emerging Technologies Project - 4th Year 2017
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Updated
Dec 4, 2017 - Python
Emerging Technologies Project - 4th Year 2017
Using Keras MobileNet-v2 model with your custom images dataset
Recognize Digits
Simple neural network implemented from scratch in C++.
a web application of handwritten digits recognition based on Django
Convolutional neural network model for handwritten digit classification, with dataset generator, and drawable input for new digits to test the models. Leave your STAR here and get a FOLLOWING!
Digits detection with YOLOv8 detection model and ONNX pre/post processing
hand-written digits recongnization base on RBM
Artificial Neural Network to identify handwritten digits between 0 and 9
WebCam Real Time Digits Recognition - OpenCV Python3
This repository contains some of the machine learning scripts that I have implemented as a part of Machine Learning coursework.
ROS TensorRT Inference Nodes for DIGITS on the Jetson
Demo app to recognize hand written digits
All kaggle competition related code
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
Testing repository for digit classification convolutional network
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