Description: The ‘Interactive Session’ in TensorFlow is a mode that allows for immediate execution of operations, facilitating experimentation and development of machine learning models. Unlike the default execution mode, which requires building a computation graph before executing any operation, the interactive session allows users to run commands directly and see results instantly. This is particularly useful for debugging and fine-tuning models, as developers can test different configurations and parameters without needing to recompile the entire graph. The interactive interface resembles a command-line programming environment, where users can input operations and receive real-time results, enhancing efficiency and understanding of the data and operation flow within the model. This interactive approach is essential for those learning TensorFlow, as it enables them to experiment with the library’s functions and features in a more intuitive and accessible manner.
