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Title: PyTorch - An Easy Beginner's Reference - AskPython

Open Graph Title: PyTorch - An Easy Beginner's Reference - AskPython

X Title: PyTorch - An Easy Beginner's Reference - AskPython

Description: Making its debut a short four years ago, PyTorch is one of the modules that took the data science industry by storm.

Open Graph Description: Making its debut a short four years ago, PyTorch is one of the modules that took the data science industry by storm.

X Description: Making its debut a short four years ago, PyTorch is one of the modules that took the data science industry by storm.

Opengraph URL: https://www.askpython.com/python-modules/pytorch

X: @AskPython

Generator: WordPress 7.0

direct link

Domain: www.askpython.com

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different areashttps://github.com/pytorch/pytorch#more-about-pytorch
Anacondahttps://www.askpython.com/python-modules/python-anaconda-tutorial
Official PyTorch websitehttps://pytorch.org
NumPyhttps://www.askpython.com/python-modules/numpy/python-numpy-module
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matrix multiplicationhttps://www.askpython.com/python/python-matrix-tutorial
math functionshttps://www.askpython.com/python-modules/python-math-module
herehttps://pytorch.org/tutorials/beginner/pytorch_with_examples.html#tensors
Containershttps://pytorch.org/docs/stable/nn.html#containers
Convolution Layershttps://pytorch.org/docs/stable/nn.html#convolution-layers
Pooling layershttps://pytorch.org/docs/stable/nn.html#pooling-layers
Padding Layershttps://pytorch.org/docs/stable/nn.html#padding-layers
Non-linear Activations (weighted sum, nonlinearity)https://pytorch.org/docs/stable/nn.html#non-linear-activations-weighted-sum-nonlinearity
Non-linear Activations (other)https://pytorch.org/docs/stable/nn.html#non-linear-activations-other
Normalization Layershttps://pytorch.org/docs/stable/nn.html#normalization-layers
Recurrent Layershttps://pytorch.org/docs/stable/nn.html#recurrent-layers
Transformer Layershttps://pytorch.org/docs/stable/nn.html#transformer-layers
Linear Layershttps://pytorch.org/docs/stable/nn.html#linear-layers
Dropout Layershttps://pytorch.org/docs/stable/nn.html#dropout-layers
Sparse Layershttps://pytorch.org/docs/stable/nn.html#sparse-layers
Distance Functionshttps://pytorch.org/docs/stable/nn.html#distance-functions
Loss Functionshttps://pytorch.org/docs/stable/nn.html#loss-functions
Vision Layershttps://pytorch.org/docs/stable/nn.html#vision-layers
DataParallel Layers (multi-GPU, distributed)https://pytorch.org/docs/stable/nn.html#dataparallel-layers-multi-gpu-distributed
Utilitieshttps://pytorch.org/docs/stable/nn.html#utilities
Quantized Functionshttps://pytorch.org/docs/stable/nn.html#quantized-functions
GitHub linkhttps://github.com/pytorch/pytorch
Pandashttps://www.askpython.com/python-modules/pandas/python-pandas-module-tutorial
Training and testing with sklearnhttps://www.askpython.com/python/examples/split-data-training-and-testing-set
Official PyTorch Documentationhttps://pytorch.org/docs/stable/index.html
Tutorials to get started with PyTorchhttps://pytorch.org/tutorials/
Resources to work with PyTorchhttps://pytorch.org/resources/
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