Implementing computer vision fundamentals with the famous MNIST data.
identify digits from MNIST dataset of tens of thousands of handwritten images
A model to detect hand-written digits from images.
The Kaggle Digit Recognizer Competition
Applying machine learning algorithms to the digit recognizer dataset
Sequential Convolutional Neural Network for handwritten digits recognition trained on MNIST dataset using keras API
MNIST Digit Recognizer with 99.72% Accuracy using Keras
Solution for digit recognizer challenge at Kaggle. https://www.kaggle.com/c/digit-recognizer
An implementation of multiclass perceptron as a digit recognizer
Solution to Kaggle's Digit Recognizer on MNIST dataset
Two-layer neural network in NumPy for MNIST digit recognition. Achieves 84.53% accuracy, with visualizations. Kaggle-submitted, GitHub-hosted.
The Digit Recognizer project on Kaggle (https://www.kaggle.com/c/digit-recognizer)
Add a description, image, and links to the digit-recognizer-kaggle topic page so that developers can more easily learn about it.
To associate your repository with the digit-recognizer-kaggle topic, visit your repo's landing page and select "manage topics."