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.

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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…
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For questions about machine learning (ML) concepts, mathematics, research, general practice, and quality control. Machine learning is a sub-field of the broader field of artificial intelligence (AI).
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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…
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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.
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For questions about convolutional neural networks, also known as CNN or ConvNet.
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For questions related to natural language processing, which concerned with the interactions between computers and human (or natural) languages, in particular how to create programs that process and an…
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For questions related to the design of AI agents, algorithms or models.
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For questions about the image-recognition abilities of AI.
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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 …
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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.
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For questions related to game design involving AI.
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For questions related to AI implementation in the Python language
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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,…
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Use for basic, fundamental questions about AI theory or practice. (i.e. design, application, implementation, mathematics of AI, philosophy of AI, etc.)
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For questions about training networks, rules systems, or other AI system components.
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For questions about the application/possible applications of Machine Learning methods and Artificial Intelligence algorithms in the field of computer vision.
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For questions related to Google's open source library for machine learning and machine intelligence.
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Use for questions that involve Q-learning, where Q is the value of a particular next action among a set of possible actions, based on a specified function of each action and its projected result.
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For questions related to the definition of and use of terminology in the context of Artificial Intelligence
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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…
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Use for questions about Recurrent Neural Networks
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For questions related to sets of data and their use in AI.
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For questions related to Keras, the modular neural networks library written in Python
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For questions related to in-depth study or academic research. Do NOT use this tag when you are trying to find something out.
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For questions about mathematics related to artificial intelligence.
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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 …
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For questions about the definition of terms used in artificial intelligence research and development, including the definition of intelligence, algorithms, jargon, principles, methodologies, mathemat…
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For questions about implementing and improving optimization algorithms used in creating AI programs, or optimization in general.
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For questions about LSTM (long-short term memory) networks.
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For questions about deep neural networks (DNNs), neural networks with multiple hidden layers between the input and output layer.
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Use on questions about getting started in AI. Ideal for those new to the field who want to begin researching and developing applications.
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For questions involving search algorithms and their use in artificial intelligence
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For questions about algorithms recognizing individual objects represented by any/all of their physical characteristics.
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For questions about clarifications, methods, algorithms or best practices for or examples of (possible) applications of Artificial Intelligence and Machine Learning algorithms.
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For questions about algorithms that exhibit characteristics of evolution in that the structure, form, or processes of that which is evolving incrementally improves, either by DNA mutation and selectio…
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Use for questions on AI theory and other theoretical subjects related to AI.