Neural Networks — PyTorch Tutorials 2.9.0+cu128 documentation
The neural network package contains various modules and loss functions that form the building blocks of deep neural networks. A full list with documentation is here.
Build the Neural Network — PyTorch Tutorials 2.9.0+cu128 …
Neural networks comprise of layers/modules that perform operations on data. The torch.nn namespace provides all the building blocks you need to build your own neural network.
Defining a Neural Network in PyTorch
PyTorch provides the elegantly designed modules and classes, including torch.nn, to help you create and train neural networks. An nn.Module contains layers, and a method forward(input) that returns …
Deep Learning with PyTorch: A 60 Minute Blitz
What is PyTorch? # PyTorch is a Python-based scientific computing package serving two broad purposes: A replacement for NumPy to use the power of GPUs and other accelerators. An automatic …
Training a Classifier — PyTorch Tutorials 2.9.0+cu128 documentation
We will check this by predicting the class label that the neural network outputs, and checking it against the ground-truth. If the prediction is correct, we add the sample to the list of correct predictions.
torch.nn — PyTorch 2.9 documentation
Dec 23, 2016 · PyTorch supports both per tensor and per channel asymmetric linear quantization. To learn more how to use quantized functions in PyTorch, please refer to the Quantization documentation.
Deep Learning with PyTorch — PyTorch Tutorials 2.9.0+cu128 …
Before we move on to our focus on NLP, lets do an annotated example of building a network in PyTorch using only affine maps and non-linearities. We will also see how to compute a loss function, using …
Learning PyTorch with Examples
For modern deep neural networks, GPUs often provide speedups of 50x or greater, so unfortunately numpy won’t be enough for modern deep learning. Here we introduce the most fundamental PyTorch …
Intro — PyTorch Tutorials 2.9.0+cu128 documentation
This is a collection of beginner-friendly resources to help you get started with PyTorch. These tutorials cover fundamental concepts, basic operations, and essential workflows to build a solid foundation for …
Training with PyTorch — PyTorch Tutorials 2.9.0+cu128 documentation
The Tutorials section of pytorch.org contains tutorials on a broad variety of training tasks, including classification in different domains, generative adversarial networks, reinforcement learning, and more