Which of the following operators are not supported by TensorFlow 2.0?

In TensorFlow 2.0, the operator that is not supported is the caret symbol (^), which is typically used in many programming languages to denote exponentiation or the bitwise XOR operation. However, in the context of TensorFlow, the caret symbol does not perform any operation related to exponentiation.

TensorFlow 2.0 has defined a different set of operators with specific functionalities. For example, the double forward slash (//) is used for floor division, and the power operator (pow) is explicitly available to raise numbers to a specified power. Additionally, the at symbol (@) is utilized for matrix multiplication, a crucial operation in deep learning and neural network training.

Each of these operators serves distinct purposes, following the conventions established in the programming environment of TensorFlow, allowing users to efficiently perform mathematical operations required in AI and machine learning tasks. Understanding operators and their support in TensorFlow is vital for effectively utilizing the framework for various computational tasks.