gyunggyung/PyTorch
PyTorch tutorials A to Z
This project provides step-by-step guides for building various machine learning models using PyTorch. It demonstrates how to handle different types of data, from basic linear models to complex neural networks for images and text. The target audience includes students, researchers, or data scientists looking to learn and implement deep learning techniques.
133 stars. No commits in the last 6 months.
Use this if you are a machine learning practitioner or student who wants to learn how to build, train, and apply deep learning models for tasks like image classification, natural language processing, or creating new images.
Not ideal if you are looking for a pre-built, production-ready application or a high-level API to integrate into an existing system without needing to understand the underlying model architecture.
Stars
133
Forks
55
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 16, 2022
Commits (30d)
0
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