There are 0 repository under mnist-classifier topic.
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
Quantum MNIST using amplitude encoding instead of dimensionality reduction.
I implemented a Naive Bayes classifier form scratch and applied it on MNIST dataset.
An MNIST dataset classifier implemented from scratch in NumPy.
MNIST handwritten digit classification using PyTorch
This repo hold CV models for the Classification of single digit images. I used Pytorch and the Digit-Recognizer kaggle dataset for the training.
Test project for neural networks - Handwritten digit recognition on MNIST dataset
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.
A bare-bones (minimal dependencies) implementation of some ML algorithms (classifying/clustering) as part of the Machine Learning postgraduate course assignments in the GUC
Machine Learning model that recognizes hand written digits
OCR for numbers in the MNIST dataset using various ML techniques.
MNIST Classification with Convolutional Neural Networks
Artificial neural networks processed with Tensorflow
All my machine learning projects and tests.
MNIST classifier using CNTK written in C++ and C#. Only used fully connected layers.
A CNN for MNIST Dataset in Python
Inspired by quantum classification, this is MNIST with no models, no weights, no activation functions, no optimizers, nor anything else that resembles traditional MNIST implementations.
"Quantum-Inspired MNIST" achieved 72% accuracy using nothing but means, addition, and subtraction. This experiment adds standard deviations.
Performs OCR on the MNIST dataset. From my BSc. AI & Robotics at Prifysgol Aberystwyth
Naive Implementation of PyTorch framework to solve the MNIST-Digit_Recognition Problem
Epoch introduction to neural networks intersession, SY2021
Deep learning demos using MNIST data set with multiple neural network models
Feed forward neural network using Numpy for MNIST classification.
Digit Recognizer - Convolutional Neural Network trained with mnist model using matplotlib - Duke University Class
Repo for Classification problem for FASHION-MNIST dataset
Handwritten Digit Recognition by MNIST
This project implements a CNN for handwritten digit classification on the MNIST dataset using PyTorch. It uses stacked convolutional layers with dropout, batch normalization, and max pooling to classify 28×28 grayscale digits (0–9) with Softmax output.
Extra credit assignment for CS 424 at Lafayette College. Implements a CNN with "all the bells and whistles."
This project implements a handwritten digit recognizer using a model trained on the MNIST dataset.
Rede neural convolucional treinada em Python e implantada em C++ no ESP32 para reconhecimento de dígitos manuscritos em tempo real.