Training a Classifier — PyTorch Tutorials 2.7.0+cu126 documentation
For this tutorial, we will use the CIFAR10 dataset. It has the classes: ‘airplane’, ‘automobile’, ‘bird’, ‘cat’, ‘deer’, ‘dog’, ‘frog’, ‘horse’, ‘ship’, ‘truck’. The images in CIFAR-10 are of size 3x32x32, …
PyTorch Examples — PyTorchExamples 1.11 documentation
This pages lists various PyTorch examples that you can use to learn and experiment with PyTorch. Image Classification Using ConvNets This example demonstrates how to run image …
Transfer Learning for Computer Vision Tutorial - PyTorch
In this tutorial, you will learn how to train a convolutional neural network for image classification using transfer learning. You can read more about the transfer learning at cs231n notes …
ResNet - PyTorch
Resnet models were proposed in “Deep Residual Learning for Image Recognition”. Here we have the 5 versions of resnet models, which contains 18, 34, 50, 101, 152 layers respectively. …
Whole Slide Image Classification Using PyTorch and TIAToolbox
In this tutorial, we will show how to classify Whole Slide Images (WSIs) using PyTorch deep learning models with help from TIAToolbox. A WSI is an image of a sample of human tissue …
Adversarial Example Generation — PyTorch Tutorials 2.7.0+cu126 ...
Given that this is a tutorial, we will explore the topic via example on an image classifier. Specifically, we will use one of the first and most popular attack methods, the Fast Gradient …
ResNet50 – PyTorch
In the example below we will use the pretrained ResNet50 v1.5 model to perform inference on image and present the result. To run the example you need some extra python packages …
Transforming and augmenting images - PyTorch
Transforming and augmenting images¶ Torchvision supports common computer vision transformations in the torchvision.transforms and torchvision.transforms.v2 modules. …
MobileNet v2 - PyTorch
import torch model = torch.hub.load('pytorch/vision:v0.10.0', 'mobilenet_v2', pretrained=True) model.eval() All pre-trained models expect input images normalized in the same way, i.e. mini …
Learning PyTorch with Examples
This tutorial introduces the fundamental concepts of PyTorch through self-contained examples. At its core, PyTorch provides two main features: An n-dimensional Tensor, similar to numpy but …