[Click on image for larger view.] Figure 1: CNN for MNIST Data Using PyTorch Demo Run After training, the demo program computes the classification accuracy of the model on the training data (96.60 ...

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 ...

This project serves as a clean, well-documented example of both training a CNN from scratch and fine-tuning a pre-trained model using PyTorch. It demonstrates best practices in: pytorch-mnist-resnet/ ...

Diffusion model implementation in pytorch trained on the latent space of an autoencoder. I built this as a personal project to answer a question: what is the smallest model that can still generate ...

Deep learning is changing our lives in small and large ways every day. Whether it’s Siri or Alexa following our voice commands, the real-time translation apps on our phones, or the computer vision ...

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Known for its flexibility, ease of use, and GPU acceleration, PyTorch is widely adopted in both ...