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…
2641 questions
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…
2543 questions
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…
2386 questions
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…
2048 questions
For questions about convolutional neural networks, also known as CNN or ConvNet.
1191 questions
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…
776 questions
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…
530 questions
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.
529 questions
For questions about training networks, rules systems, or other AI system components.
500 questions
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 …
497 questions
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…
488 questions
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?
455 questions
For questions related to the definition of and use of terminology in the context of Artificial Intelligence
400 questions
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,…
399 questions
For questions related to the transformer, which is a deep machine learning model introduced in 2017 in the paper "Attention Is All You Need", used primarily in the field of natural language processing…
385 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…
371 questions
For questions related to Google's open-source library for machine learning and machine intelligence. However, note that programming questions are off-topic here.
371 questions
For questions related to AI implementation in the Python language
370 questions
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…
356 questions
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.
339 questions
For questions related to image recognition in the context of AI.
306 questions
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…
305 questions
For questions related to the design of AI agents, algorithms, or models. If your question is about designing neural networks, reward functions, or fitness functions, you can use the associated more sp…
295 questions
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…
285 questions
For questions related to sets of data and their use in AI.
274 questions
For questions about mathematics related to artificial intelligence.
272 questions
For questions related to Keras, the modular neural networks library written in Python. However, note that programming questions are off-topic here.
265 questions
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 …
264 questions
For questions related to the concept of loss (or cost) function in the context of machine learning.
263 questions
For conceptual questions that somehow involve the PyTorch library, but note that programming questions are off-topic here.
259 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…
230 questions
For questions about implementing and improving optimization algorithms used in creating AI programs, or optimization in general.
220 questions
For questions about the definition of terms used in artificial intelligence research and development, including the definition of intelligence, algorithms, jargon, principles, methodologies, mathemat…
217 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…
213 questions
For questions related to the concept of Markov decision process (MDP), which is a mathematical framework for modeling decision making in situations where outcomes are partly random and partly under th…
210 questions