Question Tags

What are Tags?

Each question can be assigned various tags based on the domains it requires knowledge of.

For example, consider the question:

Q. Using which layer can you make your CNN invariant to the size of the input?

A. Global Average Pooling. Similar to max pooling layers, GAP layers are used to reduce the spatial dimensions of a
three-dimensional tensor. However, GAP layers perform a more extreme type of dimensionality reduction, where a tensor
with dimensions h×w×d is reduced in size to have dimensions 1×1×d. GAP layers reduce each h×w feature map to a single
number by simply taking the average of all hw values, making the network invariant to the size of the input.

This question may be tagged with the tags cnn, pooling.

Why use Tags?

Assigning tags to each question allows for better and finer segregation of questions, and is an important aspect of the application we’re building.

List of Tags

Currently, there is a standard list of tags to be used, in order to avoid duplicate tags:

gradient-descent	regression	softmax	regularization
multicollinearity	svm	trees	ensemble-learning
validation	nlp	cv	eda
clustering	unsupervised	supervised	bayes-theorem
naive-bayes	hypothesis-testing	statistics	knn
dimensionality-reduction	metrics	cnn	pooling
ann	rnn	backprop	random-forest
boosting

To request the addition of a new tag, create an issue.