GitHub

mghazel2020/MNIST-Classification-via-CNN--Python

The objective of this section is to develop a Convolutional Neural Network (CNN) to classify hand-written digits using the widely used MNIST data set. The MNIST handwritten digit classification ...
Visual Studio Magazine

Convolutional Neural Networks for MNIST Data Using PyTorch

Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset. The "Hello World" of image ...
Visual Studio Magazine

Convolutional Neural Networks for MNIST Data Using PyTorch

The "Hello World" of image classification is a convolutional neural network (CNN) applied to the MNIST digits dataset. A good way to see where this article is headed is to take a look at the ...
GitHub

Python-Custom-Digit-Recognition

You can apply a simple OCR on your own handrwitten digits using this python script. I have used OpenCV to pre-process the image and to extract the digits from the picture. Using K-Nearest Neighbours ...
IEEE

Privacy-Preserving Image Classification based on Federated Learning with Hybrid CNNs Model on MNIST Data

Abstract: Background: Machine learning (ML) privacy problems have prompted the creation of privacy-preserving methods, one of which is Federated Learning (FL), which has emerged as an important ...
Analytics India Magazine

6 MNIST Image Datasets That Data Scientists Should Be Aware Of (With Python Implementation)

In today’s article, we’ll be talking about the very basic and primarily the most curated datasets used for deep learning in computer vision.To show the performance of these neural networks some basic ...