A function that an optimization function calls at each iteration of its algorithm is known as an output function. An output function is typically used to provide graphical output, record the history of the data generated by the algorithm, or terminate the process based on the data at the current iteration.
A header file, with the extension. h, includes C function declarations and macro definitions that can be shared across several source files. There are two types of header files: those created by the programmer and those provided by your compiler.
In the C programming language, a union is a user-defined datatype. It is a memory region that contains a collection of variables of various datatypes. We can define a union with numerous members, but only one member can contain a value at any given time. Memory is saved by using C unions.
Input functions generate Tensors from any data source (in-memory data sets, streaming data, custom data format, and so forth) that can be fed into TensorFlow models. In more detail, input functions are used to: Set the parameters for how data is drawn during training (shuffling, batch size, epochs, etc.)
You can use the input function to ask a user to type information into the programme and save it in a variable that the computer can process.