When working with TensorFlow 2, you may encounter the need to switch to the legacy Keras API. This can be achieved by setting the environment variable TF_USE_LEGACY_KERAS to "1". Understanding Legacy Keras Keras is a high-level neural networks API that runs on top of TensorFlow. The latest Keras underwent significant changes to improve its usability and efficiency. However, these changes may not be compatible with existing code written for earlier versions of Keras. To address this, TensorFlow 2 provides a legacy Keras API that maintains the behavior of Keras prior to current default version. This allows developers to continue using their existing Keras code without having to make major modifications. Setting the Environment Variable To switch to the legacy Keras API in TensorFlow 2, you need to set the environment variable TF_USE_LEGACY_KERAS to "1". This can be done before importing TensorFlow: import os os.environ["TF_USE_LEGACY_KERAS"] = "1...
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