Oracle Cloud Infrastructure Documentation

TensorFlow

Learn about TensorFlow conda environments.

TensorFlow 2.16 for GPU on Python 3.10 (version 1.0)

A description of the TensorFlow 2.16 for GPU on Python 3.10 (version 1.0) conda environment.

Released

August 23, 2024

Description

The TensorFlow conda environment is an ecosystem of tools and libraries to create latest machine learning models. Use TensorFlow to train and deploy deep neural networks for image recognition, natural language processing, recurrent neural networks, and other machine learning applications. Use the oracle-ads library to speed up your data science workflow.

To get started with the TensorFlow environment for GPUs, open, and , review the notebook example getting-started.ipynb, using the Launcher.

Python Version

3.10
Slug

tensorflow216_p310_gpu_v1
Object Storage Path 
oci://service-conda-packs@id19sfcrra6z/service_pack/gpu/TensorFlow_2.16_for_GPU_on_Python_3.10/1.0/tensorflow216_p310_gpu_v1

Top Libraries

  • oracle-ads (v2.11.5)

    pandas (v2.2.2)

    scikit-learn (v1.5.1)

    tensorboard (v2.16.2)

    tensorflow (v2.16.2)

    transformers (v4.43)

For a complete list of preinstalled Python libraries, see tensorflow216_p310_gpu_v1.txt.