This is the Windows app named TensorFlow Docs whose latest release can be downloaded as tensorflow-docssourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named TensorFlow Docs with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.
- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application and install it.
- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.
Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
SCREENSHOTS
Ad
TensorFlow Docs
DESCRIPTION
TensorFlow Docs repository maintained by the Xitu translation community provides a Chinese version of the official TensorFlow documentation. Its goal is to make the extensive TensorFlow ecosystem more accessible to developers and researchers who prefer to learn in Chinese. The repository contains translated guides, API explanations, tutorials, and conceptual documentation that mirror the structure of the original TensorFlow documentation site. Contributors from technology companies, universities, and the open-source community collaborate to maintain and update the translations so they stay aligned with new TensorFlow releases. The documentation covers fundamental concepts such as tensors, computational graphs, model training, optimization, and neural network APIs, along with advanced topics including distributed training and production deployment.
Features
- Chinese translation of official TensorFlow documentation
- Guides explaining core machine learning concepts and TensorFlow architecture
- API documentation covering Python, C++, and neural network modules
- Tutorials and code examples demonstrating model building and training
- Community-driven contributions through issues and pull requests
- Terminology glossaries and structured learning resources for AI concepts
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/tensorflow-docs.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
