A tag is a keyword or label that categorizes your question with other, similar questions. Using the right tags makes it easier for others to find and answer your question.
For questions about what constitutes an artificial neuron and how artificial neurons can be utilized as part of a neural network.
For questions related AI used to automate vehicles, including the autonomous vehicles capabilities of automated piloting and air traffic control for aircraft and orbital and interplanetary vehicles, a…
For questions related to the filters (also known as kernels) of a convolutional layer (of a convolutional neural network) or, in general, used in a convolution operation. If you are looking for kernel…
For questions related to machine translation (MT), which is the task of translating text using a computer, machine or software.
For questions about methods/intuitions/proofs/improvements in the knowledge representation in a problem to be solved by Artificially Intelligent agent.
For questions related to convolutional layers, which are layers that perform the convolution (or cross-correlation) operation.
For questions related to books in the context of artificial intelligence. For example, if you're looking for a reference AI book, you may use this tag. If you want someone to clarify something in an A…
For questions related to the "experience replay" buffer (as used in the Deep Q Network and similar works).
For questions about the rectified linear unit (ReLU) or rectifiers, which is a widely used activation function in neural networks.
Use for questions related to graph coloring and graph coloring games.
For questions about designing (or defining) reward functions e.g. for reinforcement learning problems.
For questions about state spaces, in the context of reinforcement learning or other AI sub-fields.
For question involving decision trees in any form of AI.
For questions related to multi-agent systems (MAS), which are systems that involve multiple agents (each of them can have different skills) that cooperate with each other and interact with the environ…
For questions on ethical issues related to AI. Questions may be concrete, such as ethical/unethical applications, or metaphysical, such as "will automata develop their own ethics?"
For questions on behavior/performance of algorithms designed to mimic human qualities, behaviors, etc.
For questions related to the value iteration algorithm, which is a dynamic programming (DP) algorithm used to solve an MDP, that is, it is used to find a policy given the transition and reward functio…
For questions related to the cross-validation techniques (e.g. k-fold cross-validation or leave-one-out cross-validation) used in machine learning to assess the quality (e.g. average accuracy) of the …
For questions related to the U-net, a neural network proposed in "U-Net: Convolutional Networks for Biomedical Image Segmentation" (2015) by Olaf Ronneberger et al. for semantic segmentation.
A facial recognition system is a computer application capable of identifying or verifying a person from a digital image or a video frame from a video source.
In AI, the term "heuristic" is used in the context of non-blind (i.e., informed) search and planning: the problem of finding a sequence of actions to find/generate a desired state from an initial stat…
For questions related to the gradient, a way of packing together all the partial derivative information of a function
For questions and clarifications about the use of AI/ML algorithms in the field of robotics.
For questions related to the reinforcement learning (on-policy) algorithm called SARSA, which stands for (s, a, r, s', a').
For questions related to residual networks (ResNets), introduced in "Deep Residual Learning for Image Recognition" (2015) by Kaiming He et al. and that won the first place at "Large Scale Visual Recog…
For questions about different learning algorithms used by a Machine Learning program to achieve its end goal.
For questions related to recommender systems in the context of machine learning and data mining.
For questions related to the concept of metric, which is a function that defines the distance between pairs of elements in a set. However, it is often the case that the word "metric" refers to some me…
For questions about model-based reinforcement learning methods (or algorithms). An example of a model-based algorithm is Dyna-Q, which estimates a model of the environment (i.e. the transition functio…
For questions related to the concept of importance sampling (which comes up, for example, in reinforcement learning).
For questions related to feature learning (also known as representation learning), which is a set of techniques that can learn the features associated with the raw data. It is similar to feature engin…
For questions involving the Alpha-Beta pruning algorithm.
For questions about action spaces in the context of reinforcement learning and other AI sub-fields.
For questions about the different techniques of initializing weights (or parameters) of machine learning models.
For questions about the use/aspects/implementation/intuition/mathematical proofs of various Linear Algebra methods used in Machine Learning and AI algorithms.