A deep neural network model for identifying images of handwritten digits for a competition on Kaggle.com (Python)
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Updated
Apr 19, 2018 - Jupyter Notebook
A deep neural network model for identifying images of handwritten digits for a competition on Kaggle.com (Python)
Handwritten digits recognition with tensorflowjs.
I was just getting started with the Convolutional Neural Networks. This is my first CNN project which is designed and trained to detect handwritten digits. The model is trained upon MNIST dataset.
MNIST Image Classification using CNN through Tensorflow 2.x. Includes a boiler-plate Flask code to integrate the model.
Demonstration of simple handwritten digit recognition using a neural network in Python. Based on a book by Tariq Rashid. The neural network is able to decipher greyscale 28 x 28 pictures of numerical digits 0-9 with a very high success rate. It uses MNIST data for training and testing but can also be used with other similar data.
This Repo has deep learning classifiers to recognize MNIST Digits from 0 to 9
Gaussian naive Bayes classifier for digits in the MNIST dataset. Similar in nature to my other repo ("newsgroup-naive-bayes"), albeit instead of multinomial document classification, this repo explores gaussian image classification. Covariance smoothing utilized to minimize error rates to the ~4% realm.
hand-written digit classification in python.
Digit recognizer using CNN
This project takes dataset from MNIST which contains (28 x 28) pixel images of 0-9 digits. I have trained a model which is an improvement of output softmax activation function. All the implemented layers are dense. Neural network contains 3 layers with 128,128 and 10 neurons respectively
Multiple handwritten digits recognition system with GUI where one can draw the digits by oneself on the UI for prediction.
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.
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