Tensors and Dynamic neural networks in Python with strong GPU acceleration

PyTorch is a Python package that provides two high-level features:

Tensor computation (like NumPy) with strong GPU acceleration
Deep neural networks built on a tape-based autograd system

You can reuse your favorite Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.

More About PyTorch

At a granular level, PyTorch is a library that consists of the following components:

Component	Description
torch	a Tensor library like NumPy, with strong GPU support
torch.autograd	a tape-based automatic differentiation library that supports all differentiable Tensor operations in torch
torch.jit	a compilation stack (TorchScript) to create serializable and optimizable models To finish reading, please visit source site Categories Categories Search for: Recent Posts Flattening a List of Lists in Python Python News: What’s New From April 2024 Random Search and Grid Search for Function Optimization Basin Hopping Optimization in Python XGBoost for Regression Tags algorithms Attention blogathon Calculus Command-line Tools Data Preparation data science data visualization Deep Learning Deep Learning for Computer Vision Deep Learning for Natural Language Processing Deep Learning for Time Series Deep Learning Performance Deep Learning with PyTorch Ensemble Learning Generative Adversarial Networks Imbalanced Classification Linear Algebra Long Short-Term Memory Networks machine learning Machine Learning Algorithms Machine Learning Process Machine Learning Resources machine translation Matplotlib Natural language processing Natural Language Processing & Speech Neural MT nlp NMT opencv Optimization pandas Probability python Python for Machine Learning Python Machine Learning R Machine Learning scikit-learn sentiment analysis Start Machine Learning Statistics Time Series Weka Machine Learning XGBoost Categories Categories Archives Archives Powered by WordPress and Rubine.

Component

Description

torch

a Tensor library like NumPy, with strong GPU support

torch.autograd

a tape-based automatic differentiation library that supports all differentiable Tensor operations in torch

torch.jit

a compilation stack (TorchScript) to create serializable and optimizable models

To finish reading, please visit source site