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Certainly! Here's a step-by-step tutorial on how to install TensorFlow CPU using pip with code examples.
Make sure you have Python installed on your system. You can download and install Python from the official website. It's recommended to use Python 3.x for compatibility.
Using virtual environments helps keep your project dependencies isolated. You can create one using venv:
Activate the virtual environment:
On Windows:
On macOS and Linux:
Once your virtual environment is activated, you can install TensorFlow CPU using pip:
This command will install the latest available CPU version of TensorFlow. If you want a specific version, you can specify it by adding == followed by the version number, for example:
To ensure TensorFlow is installed correctly, open a Python interpreter and import TensorFlow:
This tutorial should guide you through the process of installing TensorFlow CPU using pip. If you encounter any issues during the installation, refer to the TensorFlow installation guide or the TensorFlow GitHub repository for troubleshooting.
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