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

🌐 A fast and clean supervised neural network in C++, capable of effectively using multiple cores - System Technology (BRAH) TGM 2017/18 🧠

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

This is a neural network designed to train on the MNIST data set for recognizing handwritten digits.

Recognize Digits

A basic Digit recognizer system tested on MNSIT's database of handwritten digits .

Implementation of Digit recognizer using the Keras package with Tensorflow in the back end using Pyhton. Got an accuracy of 0.9816 in predicting digits from the images.

Digit Recognizer is a Kaggle based competition. In this competition, goal is to correctly identify digits from a dataset of tens of thousands of handwritten images. Implemented different machine learning algorithms (Convolutional Neural Network, Random Forest, Support Vector Machine, Gradient Boosted Method) to improve the accuracy of model.

Kaggle DigitRecognizer

pandas, sklearn, seaborn, matplotlib

Code from https://gogul09.github.io/software/digits-recognition-mlp

Simple CNN for recognizing hand written digits

Kaggle Competitions

Tensorflow framework to make the CNN- Predict the more accurate values from test dataset

Applying machine learning algorithms to the digit recognizer dataset

A self coded ANN which can be trained on any data for classification or logistic regression.

A random forest classifier to recognize handwritten digits

Digit recognition using Keras.

Deep Learning project with MNIST dataset to help machines recognizing handwritten digits

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

Neural Networks

We are using deep learning methods to predict handwritten digits.

This is digit classifier. In this machine learning project machine will scan an Image and give the corresponding digit from the trained Data Set. The Image should be Black and White. Another project is to predict future of a company based on the dataset provided and using pattern recognition machine learning.

Digit Recognizer using Deep Learning

Kaggle Competition, "Digit Recognizer" with Pytorch

Digit Recognizer Web App

Worked on the famous MNIST Dataset to recognise images of handwritten digits using CNN along with Keras . Achieved accuracy 99.3%