Search results
30 wrz 2024 · TensorFlow has APIs available in several languages both for constructing and executing a TensorFlow graph. The Python API is at present the most complete and the easiest to use, but other language APIs may be easier to integrate into projects and may offer some performance advantages in graph execution.
- Python
Create advanced models and extend TensorFlow. RESOURCES....
- Java
Defines classes to build, save, load and execute TensorFlow...
- TFDS
tensorflow_datasets (tfds) defines a collection of datasets...
- TFF
The TensorFlow Federated library. Modules. aggregators...
- Neural Structured Learning
Subpackages of Neural Structured Learning. Modules. configs...
- Tfmot
import tensorflow_model_optimization as tfmot Modules....
- TFP
Guide for contributing to code and documentation Blog Stay...
- Responsible AI Toolkit
Learn how to use TensorFlow with end-to-end examples Guide...
- Python
TensorFlow Documentation. These are the source files for the guide and tutorials on tensorflow.org. To contribute to the TensorFlow documentation, please read CONTRIBUTING.md, the TensorFlow docs contributor guide, and the style guide. To file a docs issue, use the issue tracker in the tensorflow/tensorflow repo.
Create advanced models and extend TensorFlow. RESOURCES. Models & datasets. Pre-trained models and datasets built by Google and the community. Tools. Tools to support and accelerate TensorFlow workflows. Responsible AI.
24 mar 2023 · Learn how to install TensorFlow on your system. Download a pip package, run in a Docker container, or build from source. Enable the GPU on supported cards.
30 wrz 2024 · TensorFlow has APIs available in several languages both for constructing and executing a TensorFlow graph. The Python API is at present the most complete and the easiest to use, but other language APIs may be easier to integrate into projects and may offer some performance advantages in graph execution.
TensorFlow 2.9.1 API documentation with instant search, offline support, keyboard shortcuts, mobile version, and more.
Documentation. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.