This is the Windows app named TensorFlow to run in Windows online over Linux online whose latest release can be downloaded as TensorFlow1.15.3.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named TensorFlow to run in Windows online over Linux online 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 to run in Windows online over Linux online
DESCRIPTION
Originally developed by Google for internal use, TensorFlow is an open source platform for machine learning.Available across all common operating systems (desktop, server and mobile), TensorFlow provides stable APIs for Python and C as well as APIs that are not guaranteed to be backwards compatible or are 3rd party for a variety of other languages. The platform can be easily deployed on multiple CPUs, GPUs and Google's proprietary chip, the tensor processing unit (TPU).
TensorFlow expresses its computations as dataflow graphs, with each node in the graph representing an operation. Nodes take tensors—multidimensional arrays—as input and produce tensors as output. The framework allows for these algorithms to be run in C++ for better performance, while the multiple levels of APIs let the user determine how high or low they wish the level of abstraction to be in the models produced.
Tensorflow can also be used for research and production with TensorFlow Extended.
Features
- High Level and Low Level APIs (Ex. Keras and Tensors)
- Estimators
- Accelerators
- Embeddings
- Data input pipeline
- XLA Optimization (Accelerated Linear Algebra)
- Internet of Things (IoT)
- Mobile
- Artificial Intelligence
This is an application that can also be fetched from https://sourceforge.net/projects/tensorflow.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
