In TensorFlow 2.0 and later, sessions are no longer used directly. Is there any reason to use them?
Monday, 29 April 2024
by ankarb
In TensorFlow 2.0 and later versions, the concept of sessions, which was a fundamental element in earlier versions of TensorFlow, has been deprecated. Sessions were used in TensorFlow 1.x to execute graphs or parts of graphs, allowing control over when and where the computation happens. However, with the introduction of TensorFlow 2.0, eager execution became
- Published in Artificial Intelligence, EITC/AI/DLTF Deep Learning with TensorFlow, TensorFlow, TensorFlow basics
Tagged under:
Artificial Intelligence, Deep Learning, LEGACY SYSTEMS, Model Deployment, Sessions, TensorFlow 2.0