Regarding Version compatibility

Hi there,

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

I can then forward your feedback to the team.

- Bobby

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

1. Python Version:

   • TensorFlow 1.14 officially supports Python 3.5 and Python 3.6. Using Python 3.7 or later might cause compatibility issues.

2. 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.