Capsule Network implementation in Tensorflow

A Neural Network implemented from scratch as per http://neuralnetworksanddeeplearning.com/ in Rust. This is then trained on MNIST. This is also used in Rust-NN-Web project to compile to WASM and recognize digits.

Java read Tensorflow model created at Deep MNIST for Experts

Child repository of Deep-learning-with-PyTorch-and-GCP

"THE MNIST DATABASE of handwritten digits" DataReader http://yann.lecun.com/exdb/mnist/

Quantum MNIST using amplitude encoding instead of dimensionality reduction.

Convert data in IDX format in MNIST Dataset to Numpy Array using Python

Improved implementation of Tariq Rashid's "Make Your Own Neural Network"

MNIST handwritten digit classification using PyTorch

Simple R package to load MNIST data as data.frame

Implementation of the original VAT (Virtual Adversarial Training) paper in Keras.

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.

This is a Java implementation of a simple 3-layer neural network that interprets handwritten digits.

This repository contains the implementation and visualization of some autoencoders for latent space pattern-learning

Child repository of Deep-learning-with-PyTorch-and-GCP

MNIST應用

Assignment submissions for CSCI 5622 at CU Boulder

UIUC IRisk Lab: Neural Network from Scratch

An american sign language recognition task using CNN and machine learning algorithms

Handwritten digit recognition system trained on MNIST data.