GitHub

CNN Classification of MNIST using PyTorch

Trains a CNN on the 60,000-image MNIST training set and evaluates accuracy on the 10,000-image test set every 500 iterations. Automatically uses CUDA when available.
GitHub

MNIST Classification with TensorFlow and Keras

This repository contains a TensorFlow and Keras implementation of a convolutional neural network (CNN) for image classification on the MNIST dataset. The code is written in Python (Jupyter notebook) ...
learn

Create and run machine learning pipelines by using components with the Azure Machine Learning SDK v2

In this article, you learn how to build an Azure Machine Learning pipeline to complete an image classification task. This example uses the Azure Machine Learning Python SDK v2. Machine Learning ...
learn

Image classification using convolutional neural networks

This notebook requires a GPU to train the neural network efficiently. Follow these steps to connect to serverless GPU compute: These values are used throughout the ...