This is the Linux app named Dive into DL PyTorch whose latest release can be downloaded as Dive-into-DL-PyTorchsourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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Dive into DL PyTorch
DESCRIPTION
Dive into DL PyTorch is a PyTorch adaptation of the Chinese edition of the educational book Dive into Deep Learning. It replaces the book's original MXNet implementations with executable PyTorch examples while preserving the broader instructional material. Chapter code is organized as Jupyter notebooks so learners can run and modify examples interactively. The accompanying documentation is stored in Markdown and published as a browsable Docsify website. The material is intended for beginners with basic Python, linear algebra, calculus, and probability knowledge rather than prior machine-learning experience. It can be studied online, served locally, or viewed through a Docker-based documentation environment.
Features
- PyTorch implementations of Dive into Deep Learning examples
- Chapter-by-chapter Jupyter notebooks
- Chinese deep-learning learning material
- Markdown and Docsify documentation
- GitHub Pages web edition
- Local and Docker-based documentation viewing
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/dive-into-dl-pytorch.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
