Tags

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 a artificial networks, such as MLPs, CNNs, RNNs, LSTM, and GRU networks, their variants or any other AI system components that qualify as a neural networks in that they are, in par…
For questions related to machine learning (ML), which is a set of methods that can automatically detect patterns in data, and then use the uncovered patterns to predict future data, or to perform othe…
For questions related to reinforcement learning, i.e. a machine learning technique where we imagine an agent that interacts with an environment (composed of states) in time steps by taking actions and…
For questions related to deep learning, which refers to a subset of machine learning methods based on artificial neural networks (ANNs) with multiple hidden layers. The adjective deep thus refers to t…
For questions about convolutional neural networks, also known as CNN or ConvNet.
For questions related to natural language processing (NLP), which is concerned with the interactions between computers and human (or natural) languages, in particular how to create programs that proce…
For questions related to computer vision, which is an interdisciplinary scientific field (which can e.g. use image processing techniques) that deals with how computers can be made to gain high-level u…
For questions related to the placement of individual cases into categories, such as is essential in fraud detection, spam detection, quality control, prediction of user or market responses, automated …
For questions that involve the comparison of two AI concepts, terms or expressions. An example of such a question is: how does machine learning compare to deep learning?
For questions related to Google's open-source library for machine learning and machine intelligence. However, note that programming questions are off-topic here.
For questions about training networks, rules systems, or other AI system components.
For questions related to AI implementation in the Python language
343 questions
For questions related to the definition of and use of terminology in the context of Artificial Intelligence
For questions related to deep reinforcement learning (DRL), that is, RL combined with deep learning. More precisely, deep neural networks are used to represent e.g. value functions or policies.
For questions related to the Q-learning algorithm, which is a model-free and temporal-difference reinforcement learning algorithm that attempts to approximate the Q function, which is a function that,…
Use when requesting examples of research or research papers, books, articles, blog posts or courses. For example, "Is there any published research about X?" or "What are good examples of Y in research…
For questions related to the design of AI agents, algorithms or models.
296 questions
For questions related to Keras, the modular neural networks library written in Python. However, note that programming questions are off-topic here.
293 questions
For questions related to recurrent neural networks (RNNs), artificial neural networks that contain backward or self-connections, as opposed to just having forward connections, like in a feed-forward n…
For questions related to image recognition in the context of AI.
For questions related to the long-short term memory (LSTM), which refers to a recurrent neural network architecture that uses LSTM units. The first LSTM unit was proposed in 1997 by Sepp Hochreiter an…
For questions related to the deep Q-network (DQN), which is a deep neural network (e.g. a convolutional neural network) trained with a variant of Q-learning. The expression was coined in the paper "Pl…
259 questions
For questions related to sets of data and their use in AI.
For questions related to artificial intelligence research papers. So, you should use this tag if you want someone to clarify something in a research paper.
For questions about the back-propagation (aka "backprop", and often abbreviated as "BP") algorithm, which is used to compute the gradient of the objective function (e.g. the mean squared error) with r…
For questions related to game design involving AI.
226 questions
For questions about mathematics related to artificial intelligence.
For questions related to the concept of loss (or cost) function in the context of machine learning.
212 questions
For questions related to the philosophical aspects of artificial intelligence. Topics such as human/AI value alignment, artificial consciousness, the feasibility of AGI, the ethics of AI, Neo-Luddism,…
197 questions
For questions related to object detection (where objects can be e.g. humans, dogs, houses, etc.), whose meaning or definition can vary depending on the context. OD can refer to the task of locating (i…
For questions related to generative adversarial networks (GANs), introduced in the paper Generative Adversarial Nets (2014) by J. Goodfellow et al. A GAN is composed of a discriminative model (D) and …
For questions about the definition of terms used in artificial intelligence research and development, including the definition of intelligence, algorithms, jargon, principles, methodologies, mathemat…
For questions about Artificial General Intelligence (AGI), a hypothetical machine characteristic permitting it to learn any arbitrary intellectual ability up to the limits of the available computing r…
174 questions
For questions related to genetic algorithms (GAs), which are a form of evolutionary algorithms. A genetic algorithm is a method (more precisely, a metaheuristic) for solving optimization and search pr…
169 questions
For questions about implementing and improving optimization algorithms used in creating AI programs, or optimization in general.
169 questions
For questions surrounding gradient descent, a method for finding the optimum state of a parameterized function based on another function often called the loss or error function. It iteratively descen…
164 questions
1
2 3 4 5
35