Keras Model Summary Function with Input Size

This code defines a function called 'summary' that takes two arguments: 'model' and 'input_size'. The 'model' argument represents a previously defined machine learning model, while 'input_size' is a tuple defining the dimensions of the input data.

The 'input_size' tuple consists of five elements: (1) the number of channels in the input data (e.g., 1 for grayscale, 3 for RGB); (2) the number of rows in the input data; (3) the number of columns in the input data; (4) the number of bands in the input data (e.g., the number of spectral bands in a multispectral image); and (5) an optional batch size (not utilized in this code).

The 'summary' function leverages Keras' built-in 'summary' function to print a summary of the model's architecture. This includes details like the number of parameters and the output shape of each layer. The 'input_size' argument is crucial for specifying the shape of the input data that will be fed into the model.