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 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 related to learning controlled by external positive reinforcement or negative feedback signal or both, where learning and use of what has been thus far learned occur concurrently.
For questions about convolutional neural networks, also known as CNN or ConvNet.
For questions related to natural language processing, which is concerned with the interactions between computers and human (or natural) languages, in particular how to create programs that process and…
For questions related to the design of AI agents, algorithms or models.
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 related to AI implementation in the Python language
For questions related to image recognition in the context of AI.
For questions related to Google's open source library for machine learning and machine intelligence.
For questions about training networks, rules systems, or other AI system components.
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 philosophical aspects of artificial intelligence. Topics such as human/AI value alignment, artificial consciousness, the feasibility of AGI, the ethics of AI, Neo-Luddism,…
For questions about algorithm's that exhibit characteristics of intelligence, or are critical components in systems that exhibit intelligence, and problem-solving and goal-based algorithms in general.
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 Keras, the modular neural networks library written in Python
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,…
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 the definition of and use of terminology in the context of Artificial Intelligence
For questions related to sets of data and their use in 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 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…
For questions related to the technique of backpropagation, whereby the loss, error, or correction signal calculated at the output of an artificial network output is fed back to the parameters in each …
For questions about mathematics related to artificial intelligence.
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 implementing and improving optimization algorithms used in creating AI programs, or optimization in general.
Use for basic, fundamental questions about AI theory or practice. (i.e. design, application, implementation, mathematics of AI, philosophy of AI, etc.)
For questions about deep neural networks (DNNs), neural networks with multiple hidden layers between the input and output layer.
For questions about clarifications, methods, algorithms or best practices for or examples of (possible) applications of Artificial Intelligence and Machine Learning algorithms.
For questions related to in-depth study or academic research. Do NOT use this tag when you are trying to find something out.
For questions involving search algorithms and their use in artificial intelligence
For questions related to object recognition, which is the problem of determining the type of object in the image, so object recognition could also be called object classification.
Use on questions about getting started in AI. Ideal for those new to the field who want to begin researching and developing applications.