The main challenge with the TensorFlow graph lies in its static nature, which can limit flexibility and hinder interactive development. In the traditional graph mode, TensorFlow builds a computational graph that represents the operations and dependencies of the model. While this graph-based approach offers benefits such as optimization and distributed execution, it can be cumbersome