digit-recognizer

A Machine Learning classifier for recognizing the digits for humans 🎰

🧠 A fast and clean supervised neural network in C++, capable of effectively using multiple cores

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.

Digit Recognizer Neural Network

Recognize Digits

Trying to build a Neural Network from scratch (no Tensorflow/Pytorch, just numpy & math)

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.

Digit Recognizer, is a web-based tool designed to recognize handwritten digits using machine learning techniques. With the advancement of deep learning and image recognition algorithms, it has become feasible to build accurate models capable of identifying handwritten digits with high precision.

A Handwritten Single Digit Recognition App

Kaggle Top 4% Project. CNN Based high precise MNIST like Kannada digit recognizer

A simple Digit Recognizer using the inbuilt dataset in TensorFlow.

Can recognize the handwriting mostly(only) numbers with accuracy using ML & dataset with GUI to write numbers.

kaggle比赛—手写数字识别，比赛链接https://www.kaggle.com/c/digit-recognizer

The final experiment of machine learning 24, spring in HUST.

Mouse drawn live Digit Recognizer using Keras CNN and cv2 canvas