Can you explain this?   What are the correct explanations for pooling layers? (Multiple Answers Possible)   A. An average pooling layer is differentiable since it is a linear operation. B. A max pooling layer has strictly fewer learnable parameters than a convolutional layer. C. A max pooling layer can be used between convolutional layers without breaking the computation graph. D. A pooling layer must include a non-linear activation function.

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Time Complexity

In computer science, the computational complexity that is measured in terms of time is referred to as time complexity that defines how long it takes a computer to execute an algorithm. An algorithm's time complexity is measured by the the amount of time required to execute each statement of code in the algorithm. If a statement is set to execute repetitively, the number of times it will be N multiplied by the time it takes to run that function each time is equal .