> ## Documentation Index
> Fetch the complete documentation index at: https://notes.kodekloud.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Course: PyTorch

> This course teaches PyTorch for developing AI applications, focusing on breast cancer diagnosis and covering data handling, model training, and deployment techniques.

Notes for the **PyTorch** course: 32 lessons across 4 sections.

## Getting Started with PyTorch

* [Course Introduction](/docs/PyTorch/Getting-Started-with-PyTorch/Course-Introduction/page.md)
* [Course Structure](/docs/PyTorch/Getting-Started-with-PyTorch/Course-Structure/page.md)
* [Introduction to PyTorch](/docs/PyTorch/Getting-Started-with-PyTorch/Introduction-to-PyTorch/page.md)
* [Setting up PyTorch](/docs/PyTorch/Getting-Started-with-PyTorch/Setting-up-PyTorch/page.md)
* [Demo Setting up PyTorch](/docs/PyTorch/Getting-Started-with-PyTorch/Demo-Setting-up-PyTorch/page.md)
* [Introduction to PyTorch Tensors](/docs/PyTorch/Getting-Started-with-PyTorch/Introduction-to-PyTorch-Tensors/page.md)
* [Demo Introduction to PyTorch Tensors](/docs/PyTorch/Getting-Started-with-PyTorch/Demo-Introduction-to-PyTorch-Tensors/page.md)
* [PyTorch Ecosystem](/docs/PyTorch/Getting-Started-with-PyTorch/PyTorch-Ecosystem/page.md)

## Working with Data

* [Data Overview](/docs/PyTorch/Working-with-Data/Data-Overview/page.md)
* [Datasets and Dataloaders](/docs/PyTorch/Working-with-Data/Datasets-and-Dataloaders/page.md)
* [Demo Datasets and Dataloaders](/docs/PyTorch/Working-with-Data/Demo-Datasets-and-Dataloaders/page.md)
* [Introduction to Transformations](/docs/PyTorch/Working-with-Data/Introduction-to-Transformations/page.md)
* [Demo Introduction to Transformations](/docs/PyTorch/Working-with-Data/Demo-Introduction-to-Transformations/page.md)
* [Building Data](/docs/PyTorch/Working-with-Data/Building-Data/page.md)
* [Demo Building Data](/docs/PyTorch/Working-with-Data/Demo-Building-Data/page.md)

## Building and Training Models

* [Introduction to Neural Networks](/docs/PyTorch/Building-and-Training-Models/Introduction-to-Neural-Networks/page.md)
* [Building and Training a model](/docs/PyTorch/Building-and-Training-Models/Building-and-Training-a-model/page.md)
* [Demo Building and Training a model](/docs/PyTorch/Building-and-Training-Models/Demo-Building-and-Training-a-model/page.md)
* [Saving and loading models](/docs/PyTorch/Building-and-Training-Models/Saving-and-loading-models/page.md)
* [Demo Saving and loading models](/docs/PyTorch/Building-and-Training-Models/Demo-Saving-and-loading-models/page.md)
* [Additional Training Methods](/docs/PyTorch/Building-and-Training-Models/Additional-Training-Methods/page.md)
* [Demo Additional Training Methods](/docs/PyTorch/Building-and-Training-Models/Demo-Additional-Training-Methods/page.md)
* [Model Evaluation](/docs/PyTorch/Building-and-Training-Models/Model-Evaluation/page.md)
* [Demo Model Evaluation](/docs/PyTorch/Building-and-Training-Models/Demo-Model-Evaluation/page.md)

## Model Deployment and Inference

* [Deployment Options](/docs/PyTorch/Model-Deployment-and-Inference/Deployment-Options/page.md)
* [Demo Deployment Options](/docs/PyTorch/Model-Deployment-and-Inference/Demo-Deployment-Options/page.md)
* [Introduction to Flask](/docs/PyTorch/Model-Deployment-and-Inference/Introduction-to-Flask/page.md)
* [Demo Introduction to Flask](/docs/PyTorch/Model-Deployment-and-Inference/Demo-Introduction-to-Flask/page.md)
* [Introduction to Docker](/docs/PyTorch/Model-Deployment-and-Inference/Introduction-to-Docker/page.md)
* [Demo Introduction to Docker](/docs/PyTorch/Model-Deployment-and-Inference/Demo-Introduction-to-Docker/page.md)
* [Deploying to Kubernetes](/docs/PyTorch/Model-Deployment-and-Inference/Deploying-to-Kubernetes/page.md)
* [Demo Deploying to Kubernetes](/docs/PyTorch/Model-Deployment-and-Inference/Demo-Deploying-to-Kubernetes/page.md)


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