Digit recognition with Convolutional Neural Networks in WebGL
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Updated
Aug 17, 2016 - JavaScript
Digit recognition with Convolutional Neural Networks in WebGL
A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset
A Machine Learning classifier for recognizing the digits for humans 🎰
RealTime DigitRecognition using Convolutional Neural Network(CNN) with keras.
Using OpenCV in python to recognize digits in a scanned page of handwritten digits.
Handwritten digit recognition using neural network trained on 60000 images from MNIST dataset
🔢 Computer will recognize the digits you wrote on a beautiful web-interface
Recognition of sequence of digits using tensorflow
All about Neural Networks!
Recognize Digits using Deep Neural Networks in Google Chrome live!
CNN digit recognizer implemented in Keras Notebook, Kaggle/MNIST (0.995).
Implementing CNN for Digit Recognition (MNIST and SVHN dataset) using PyTorch C++ API
Recognize handwritten multi-digit numbers using a CRNN model trained with synthetic data.
A Hand Written Digit Recognition app trained on the MNIST dataset of Keras using the CNN model. skills used are Tensorflow, HTML,CSS,javascript.
Web-based application for recognizing handwritten digits in real-time, powered by a JavaScript neural network
Recognize handwritten digits using back-propagation algorithm on MNIST data-set
Domain adaptation networks for digit recognitioning
Attention mechanism with MNIST dataset
This is simple and easy way to identification and recognition of handwritten text from an image. An Optical Character Recognition (OCR) is type of image-based sequence recognition problem. So, i used CRNN to cop up this problem. This will help to extract text from an image.
Handwritten Digit Recognition using Softmax Regression in Python
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