Convert data in IDX format in MNIST Dataset to Numpy Array using Python
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Updated
Sep 10, 2020 - Jupyter Notebook
Convert data in IDX format in MNIST Dataset to Numpy Array using Python
MNIST handwritten digit classification using PyTorch
Java read Tensorflow model created at Deep MNIST for Experts
Capsule Network implementation in Tensorflow
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.
Web app for digit recognition using neural networks (Keras tensorflow)
UIUC IRisk Lab: Neural Network from Scratch
This is a Java implementation of a simple 3-layer neural network that interprets handwritten digits.
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.
An american sign language recognition task using CNN and machine learning algorithms
Child repository of Deep-learning-with-PyTorch-and-GCP
Handwritten digit recognition system trained on MNIST data.
Working through the book http://neuralnetworksanddeeplearning.com
MNIST reader for Go
Child repository of Deep-learning-with-PyTorch-and-GCP
Performs OCR on the MNIST dataset. From my BSc. AI & Robotics at Prifysgol Aberystwyth
Simple Reader for reading MNIST data files
A simple API for C language created to work easier with MNIST data files.
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