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A Machine Learning classifier for recognizing the digits for humans 🎰
Implementing Deep learning in R using Keras and Tensorflow packages for R and implementing a Multi layer perceptron Model on MNIST dataset and doing Digit Recognition
Attention mechanism with MNIST dataset
Machine Learning Practise
A project I made to practice my newfound Neural Network knowledge - I used Python and Numpy to train a network to recognize MNIST images. Adam and mini-batch gradient descent implemented
Derin Öğrenme kullanarak el yazısıyla yazılmış rakamları tanımak için yazılmış bir Flask uygulamasıdır.
Recognize Digits
Using a Convolutional Neural Network (CNN) to identify the Kannada numerical digits. Tensorflow (Keras) is used to create, train and load the neural network model. CustomTKinter/TKinter are used to provide the GUI and OpenCV is used to read input form the GUI.
Trying to build a Neural Network from scratch (no Tensorflow/Pytorch, just numpy & math)
Kaggle Top 4% Project. CNN Based high precise MNIST like Kannada digit recognizer
A Handwritten Single Digit Recognition App
kaggle比赛—手写数字识别,比赛链接https://www.kaggle.com/c/digit-recognizer
Implementing computer vision fundamentals with the famous MNIST data.
Can recognize the handwriting mostly(only) numbers with accuracy using ML & dataset with GUI to write numbers.
A simple Digit Recognizer using the inbuilt dataset in TensorFlow.
Instant digit recognition via JavaScript neural networks.
A neural-network based handwritten digit recognition system, coded from scratch.
Mouse drawn live Digit Recognizer using Keras CNN and cv2 canvas
Digit recognizer with our own dataset
Digit recognizer with 97.5% accuracy according to the Kagle scoring. I used different algorithms like; SVM, KNN, and Decision Tree
MNIST Digit Recognizer from Kaggle
Digit Recognizer using Deep Learning
This is a neural network designed to train on the MNIST data set for recognizing handwritten digits.
This is a simple realization of a one digit recognition
A basic Digit recognizer system tested on MNSIT's database of handwritten digits .
Digit Recognizer - Convolutional Neural Network trained with mnist model using matplotlib - Duke University Class
This is a digit recogniser using Fastai ResNet.
An app that recognizes handwritten digits, either through an in-built canvas or through a photo of a handwritten digit (on paper) taken by the camera and outputs the respective number using a Machine Learning algorithm (Neural Network) via text and voice.
Machine Learning Projects
Digit Recognization by using Deep Learning
This project uses ML and keras modules to recognise digits from the given dataset.
MNIST handwritten digit recognizer built on PyTorch
MNIST Digit Recognizer with Machine Learning (CNN, MLP, KNN, SVM, Decision Tree, Random Forest)