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

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

Recognize Digits

Learning from https://github.com/Maitreya-Bhatkhande/neural-network-from-scratch-numpy. It's a practice of handmade Neural Network. The highlight is about some insights about my headache when I was learning it. I've also made some improvements about it and illustrate some important concepts.

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.

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

A Handwritten Single Digit Recognition App

A simple Digit Recognizer using the inbuilt dataset in TensorFlow.

A neural network built from scratch in pure C++ that recognizes handwritten digits. No libraries.

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.