Project code for Udacity's Data Scientist Nanodegree program. In this project, students first develop code for an image classifier built with PyTorch, then convert it into a command line application.

Project code for Udacity's Data Scientist Nanodegree program. In this project, students first develop code for an image classifier built with PyTorch, then convert it into a command line application.

Learn some of the best practices for image classification with PyTorch, such as data preparation, model architecture, hyperparameter optimization, and model evaluation. Sign in to view more content ...

The test image is a PyTorch tensor with shape (3, 32, 32). The image is converted to a NumPy array, and then converted to shape (32, 32, 3) because the matplotlib imshow() function expects the channel ...

PyTorch is a Python-based tensor computing library with high-level support for neural network architectures. ... from image classification to translating text between different languages.

Mahotas is a Python library for image processing and computer vision tasks like segmentation, ... PyTorch, Scikit-learn, and Scikit-image. ... and image classification.

This article explains how to create a PyTorch image classification system for the CIFAR-10 dataset. CIFAR-10 images are crude 32 x 32 color images of 10 classes such as "frog" and "car." A good way to ...