luohaohaoluo/pytorch-tutorial
To study pytorch can improve myself about deeplearing, so it is excited to create the repository. 为了更够更好地学习基于框架pytorch的深度学习，特地创建该仓库，用于记录如何通过pytorch完成深度学习的任务（如：文本分类、图像分类、语义分割、实例分割、目标检测等），同时也会不断更新一些像自编码器、自注意力机制等概念的复现，也会不断学习生成式对抗网络（GAN）等内容
This project provides practical, hands-on code examples for various deep learning tasks using the PyTorch framework. It takes common datasets like FashionMNIST, VOC, or IMDB, and outputs trained models for tasks such as image classification, object detection, semantic segmentation, and text classification. This resource is ideal for machine learning engineers or data scientists who want to implement deep learning models.
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Use this if you are a deep learning practitioner looking for concrete code implementations of core deep learning tasks in PyTorch, especially for image and text processing.
Not ideal if you are looking for theoretical explanations of deep learning concepts or a detailed API reference for PyTorch.
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Language
Python
License
MIT
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Last pushed
May 10, 2023
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