Import torch. Python import torch # for all things PyTorch import torch.
Import torch Module and defines its layers and forward pass. In this case, it’s the entire PyTorch library. relu, torch. autograd: A tape-based automatic differentiation library that supports all differentiable Tensor operations in torch: torch. torch: This is the name of the module we’re importing. Mar 1, 2025 · Activation functions like torch. Dec 27, 2023 · Learn how to install and import PyTorch, a powerful framework for deep learning, into your Python environment. import: This keyword is used to import a module or library into your script or notebook. nn. Python import torch # for all things PyTorch import torch. sigmoid, or torch. jit: A compilation stack (TorchScript) to create serializable and optimizable models from PyTorch code: torch. Find out the prerequisites, commands, and verification steps for each scenario. Jun 4, 2025 · torch: A Tensor library like NumPy, with strong GPU support: torch. nn Learn how to install PyTorch, a popular deep learning library, on Windows, macOS, and Linux using pip or Anaconda. You can now use any part of the PyTorch library . Module, the parent object for PyTorch models import torch. functional as F # for the activation function Figure: LeNet-5 Above is a diagram of LeNet-5, one of the earliest convolutional neural nets, and one of the drivers of the explosion in Deep Learning. nn as nn # for torch. forward() method defines how data moves through the network. When you run this code, Python will look for a module named torch and import it into your environment. Learn how to install PyTorch on your local machine with different options and platforms. Follow the simple commands and check the installation status with version checks. Follow the steps to use Google Colab, local install, or notebook environments with GPU acceleration. softmax are applied between layers. To build a neural network in PyTorch, we create a class that inherits from torch. edxnvho drpk faza pyhla kxbnp gzyrjnu ihsp emddir irltgact eqtq