A from-scratch basic backpropagation neural network implemented in C#.
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Updated
May 27, 2019 - C#
A from-scratch basic backpropagation neural network implemented in C#.
MNIST data classification with logistic regression (from scratch), deep neural network, SVM and random forest (using scikit-learn)
Neural Network Applications
Detector using MNIST/Fashion-MNIST Dataset
A simple digit recognizer.
Convolutional Neural Net applied to MNIST dataset
Python script to download and parse the MNIST dataset into a NumPy array.
Training MNIST Dataset Using Modified LeNet Model
MNIST handwritten digit classification, built with python/tensorflow, runs in browser
A Simple application to recongize digit using Tenorflow.js in Node.js
Keras MNIST dataset predict handwritten digits from web url, local pc or from passing an argument. With Graphical Representation using Matplotlib.
Codes of Deep Learning Models
Using Deep Learning in the form of a Convolutional Neural Network (CNN) to classify images of different digits!
A machine learning program that lets you draw a digit and recognises it with high accuracy. This uses Convolutional Neural Networks.
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