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How to install tensorflow/tensorflow. Official installation instructions. Project installation guide. Framework or library installation. Build installation instructions. How to setup and install from GitHub. Installation steps and setup instructions. Official docs and installation instructions GitHub.
tensorflow/tensorflow Installation Guide
How to install tensorflow/tensorflow. Official project installation instructions and setup guide.
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Automated Install (Recommended)
Quick installation instructions for tensorflow/tensorflow. This is the fastest way to complete project installation and setup.
Install via curl
curl -fsSL https://hexmos.com/ipm-install | bash &&
ipm i tensorflow/tensorflowor
Install via npx
npx @hexmos/ipm i tensorflow/tensorflowPrerequisites
Python
languageVersion: >=3.6.0
pip
package_managerPackage installer for Python.
C++ Compiler (g++)
build_toolVersion: 10.2.0
CUDA Toolkit
system_packageProvides CUDA libraries and tools for GPU acceleration.
cuDNN Library
libraryVersion: 8.0.1
TensorFlow Docker Image
system_packageProvides a pre-configured TensorFlow environment for containerized deployments.
Manual Installation Methods
Manual installation instructions. How to install from GitHub source.
Ubuntu/Debian (apt)
pip install tensorflowPython Package Manager (CPython)
pip install tensorflow-cpuPython Package Manager (CPython)
pip install tensorflow-cpuPost Installation Steps
- Open a terminal and run `python -m tensorflow.keras.applications.vgg16.VGG16` to load the pre-trained VGG16 model.
- To test your TensorFlow installation, try running a simple example like: `import tensorflow as tf; print(tf.__version__)`. This will display the version of TensorFlow you have installed.