Why sessions have been removed from the TensorFlow 2.0 in favour of eager execution?
Saturday, 16 March 2024
by Irena Mesarič
In TensorFlow 2.0, the concept of sessions has been removed in favor of eager execution, as eager execution allows for immediate evaluation and easier debugging of operations, making the process more intuitive and Pythonic. This change represents a significant shift in how TensorFlow operates and interacts with users. In TensorFlow 1.x, sessions were used to
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, Google tools for Machine Learning, Printing statements in TensorFlow
Tagged under:
Artificial Intelligence, Eager Execution, Machine Learning, Pythonic, Sessions, TensorFlow 2.0

