Simple perceptron implementation on Haskell
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Updated
Nov 19, 2013 - Haskell
Simple perceptron implementation on Haskell
Digit recognition using deep learning (convolutional neural networks)
Digit Recognition with scikit-learn's Bernoulli RBM and Logistic Classifier
SNN MNIST "Unsupervised learning of digit recognition using spike-timing-dependent plasticity"
This python program helps you kickstart with digits recognition using OpenCV and k-nearest-neighbor algorithm
Digit recognition with Convolutional Neural Networks in WebGL
Udacity Nanodegree Capstone Project: Multiple digit recognition from google street view housing number data
Implemented one-vs-all logistic regression to recognize hand-written digits
IN4085 : Pattern Recognition - Final Assignment
Playing around with tensor-flow and MNIST dataset
A demonstration of Neural Network and Support Vector Machine based classifier for digit recognition on the MNIST dataset.
Simple telegram bot for digit recognition
📝 Using plain basic neural network to classify handwritten digits.
Hand written digits recognition using simple gradient descent on MNIST data
Neural Network from scratch to classify digits from MNIST dataset
Kaggle Competition : Digit Recognizer
✏️ 1️⃣ | A simple handwritten digits recognition MLP. This project contains an android app as client and a python http server to make the recognition.
Implement different types of neural networks to recognize hand written digits.
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