Question

Regarding Version compatibility

While following your tutorial, I noticed that the Keras and Python versions need to be compatible with TensorFlow 1.14. Could you specify the exact versions you’re using for training?

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KFSys

Site Moderator

• November 22, 2024

Heya,

To ensure compatibility with TensorFlow 1.14, the versions of Python and Keras must align with the requirements of TensorFlow. Here’s a breakdown:

TensorFlow 1.14 Compatibility

Python Version:
- TensorFlow 1.14 officially supports Python 3.5 and Python 3.6. Using Python 3.7 or later might cause compatibility issues.
Keras Version:
- TensorFlow 1.14 ships with a built-in version of Keras (tf.keras) but is compatible with standalone Keras versions up to 2.2.5.
- It’s recommended to use Keras 2.2.x to avoid API conflicts.

Recommended Setup

Python: 3.5 or 3.6
TensorFlow: 1.14.0
Keras: 2.2.4 or 2.2.5

Installation Commands

Here’s how you can set up a compatible environment:

# Create and activate a virtual environment (optional but recommended)
python3.6 -m venv tf_env
source tf_env/bin/activate

# Install TensorFlow 1.14
pip install tensorflow==1.14.0

# Install Keras 2.2.5
pip install keras==2.2.5`

Additional Notes

If you are using TensorFlow’s built-in Keras (tf.keras), no additional Keras installation is required.
For GPU support, install tensorflow-gpu==1.14.0 and ensure compatible CUDA (10.0) and cuDNN (7.4) versions are installed.

Bobby Iliev

Site Moderator

• November 16, 2024

Hi there,

Would you mind confirming which tutorial exactly are you referring to?

I can then forward your feedback to the team.

- Bobby