Real-time Number Recognition using Apple's CoreML 2.0 and MNIST -
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Updated
Dec 27, 2020 - Jupyter Notebook
Real-time Number Recognition using Apple's CoreML 2.0 and MNIST -
In this repository i created many data scince - machine learning projects like(Deep dream,weather prediction,Movie recommender system etc) with code & datasets
一个简单的 TensorFlow 示例,Flask 作为服务端,可以使用浏览器在 canvas 书写演示
This project demonstrates Handwritten digit recognition using Deep Learning
A Naive Bayes hand-written number classifier implemented in Python using only built-in libraries. (MNIST dataset)
A handwritten English numeral recognition system will recognize the handwritten numerals. The area of this project is digital image processing and machine learning. The software requirements in this project is Python software and to create application we are using Android Application.
the prework for using logisim to recognize 8x8 digits number
Our Hackathon project FrameFlow AI automates license plate recognition from DNS footage, storing data securely in the cloud. Users can query driver information via a user-friendly website
train and optimize your object detection with tensorflow object detection api for number
It is a neural network I've implemented on C#. It can recognize numbers, solve XOR and NAND gates
Term project for CS525
Can recognize the handwriting mostly(only) numbers with accuracy using ML & dataset with GUI to write numbers.
Several examples of image classification algorithms for image data.
Simple Python Image Processing
Simple number recognizer created using pure Python 3
Neural network recognition of alphanumeric drawings (v0.2)
An image processing project that can solve simple math equations in an image.
Our Hackathon project FrameFlow AI automates license plate recognition from DNS footage, storing data securely in the cloud. Users can query driver information via a user-friendly website
Arena of Valor game video analyzer
🤖✍🏽 Machine Learning (ML) model for recognizing handwritten numbers
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