Performs OCR on the MNIST dataset. From my BSc. AI & Robotics at Prifysgol Aberystwyth
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Updated
Jul 10, 2015 - R
Performs OCR on the MNIST dataset. From my BSc. AI & Robotics at Prifysgol Aberystwyth
OCR for numbers in the MNIST dataset using various ML techniques.
Hand written digits recognition using simple gradient descent on MNIST data
Deep learning demos using MNIST data set with multiple neural network models
An autonomous navigation system for drones in both urban and rural environments.
Problems Identification: This project involves the implementation of efficient and effective KNN classifiers on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.
I implemented a Naive Bayes classifier form scratch and applied it on MNIST dataset.
MNIST classification using scikit-learn
A CNN for MNIST Dataset in Python
Study of leNet implementation in Python3.6 with Keras+Tensorflow backend.
MNIST classifier using CNTK written in C++ and C#. Only used fully connected layers.
Repo for Classification problem for FASHION-MNIST dataset
Played with Tensorspace a library for Neural network 3D visualization, building interactive and intuitive models in browsers, supports pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js
Feed forward neural network using Numpy for MNIST classification.
MNIST classifier with tensorflow and a 2 hidden layer deep neural network
Artificial neural networks processed with Tensorflow
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