# Tag Info

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What is the time complexity? The time complexity of an algorithm is the number of basic operations, such as multiplications and summations, that the algorithm performs. The time complexity is usually expressed as a function of the input's size $n$ (but this does not always have to be the case: for instance, you can express the time complexity as a function ...

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From what I understood, you want to be able to determine whether the input to your classifier is a valid picture or not. Where: Valid picture: image of a person wearing or not wearing a seatbelt Not valid picture: unrelated images (say a kitchen picture) or noise, or a black image (no input at all) For that you could build a Bayesian model from your ...

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Yes, a category "no person" or "random image" would make sense. Binary classification is only helpful if you know that your input always belongs to one or the other category, for example by pre-filtering the inputs.

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The problem with certain activation functions, such as the sigmoid, is that they squash the input to a finite interval (i.e. they are sometimes classified as saturating activation functions). For example, the sigmoid function has codomain $[0, 1]$, as you can see from the illustration below. This property/behaviour can lead to the vanishing gradient problem ...

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Generally, order matters. A (trained) Neural Network (NN) is just a mathematical function trained on taking some given input and producing the corresponding output. So, if you train a certain node on producing large output if (and only if) an animal is present in a picture (for example), but later you give it the numeric evidence for a car being present in ...

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The route/trajectory followed by the optimization algorithm basically depends your dataset and the loss function. However, what really matters, for the purpose of final accuracy performance, is the final point which the trajectory converges to.

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Yes, it is not specified because the region proposal algorithm did not change from R-CNN (the previous version from Fast R-CNN, however, in the next verion, Faster R-CNN, this algorithm is replaced by a CNN). The region proposal algorithm you are looking for is called selective search. You can find in the R-CNN paper that the algorithm is described in "...

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