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.

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For questions related to attention based AI approaches, including gating at the network cell level, selection of models within a model container, virtual pan and zoom within an image field, selection …
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For questions related to the reinforcement learning algorithm called proximal policy optimization (PPO), which was introduced in the paper "Proximal Policy Optimization Algorithms" (2017) by John Schu…
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For questions related to the concept of data pre-processing, which includes, for example, cleaning, instance selection, normalization, transformation, feature extraction or selection.
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For questions related to the concept of environment in reinforcement learning and other AI sub-fields.
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For questions related to transfer learning, a machine learning method that focuses on storing knowledge gained while solving one problem in order to apply this knowledge to a different but related pro…
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Use for objective evaluations and assessments of computing devices and components, including CPUs, GPUs, etc., based on architecture and performance statistics. Opinions may be suitable for comm…
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For questions about the brain of a living organism, e.g. what qualifies as a brain? What is the purpose of a brain? How does the brain function?
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Use for questions about collective behavior of decentralized, self-organized algorithmic systems, artificial or natural.
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For questions related to computational learning theory (or, in short, learning theory), which is a research subfield of artificial intelligence devoted to studying the design and mathematical analysis…
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For questions related to the planing of paths through a tree or network of vertices connected by edges, whereby there is some set of objectives that the plan is constructed to meet. Such objectives co…
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For questions about the security measures against malicious algorithms, and security measures provided by AI algorithms in detecting, mitigating and preventing breaches and malicious activity.
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for questions relating to the language and models that create them.
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For questions related to the convolution operation or convolutional layer (in the case of convolutional neural networks).
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For questions related to machine translation (MT), which is the task of translating text using a computer, machine or software.
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For questions related to the temporal-difference reinforcement learning (RL) algorithms, which is a class of model-free (that is, they do not use the transition and reward function of the MDP) RL algo…
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specialized hardware for the manipulation of images and calculation of local image properties.
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For questions related to features in the context of machine learning and, in general, AI.
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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…
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Use for question about the emergent "mythology of AI", from Talos in Greek mythology, to Skynet and the technological singularity.
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For questions related to Google in the context of AI (e.g. related to Google Translate). Google is an American multinational technology company specializing in internet-related services and products.
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For questions about the application of AI/ML algorithms in the field of OCR.
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For questions about processing signals of any physical quantity, with the help of Machine Learning or Artificially Intelligent algorithms.
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For questions about the legal aspects and ramifications due to the creation/use of AI in various fields and applications (also laws in place to regulate the proper use of AI technology).
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For questions related to the hyper-parameters of AI models and algorithms, which are parameters that are set before the learning process begins. For example, the number of hidden layers in a feed-forw…
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For questions related to variational auto-encoders (VAEs). The first VAE was proposed in "Auto-Encoding Variational Bayes" (2013) by Diederik P. Kingma and Max Welling. There are several other VAEs, f…
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For questions related to notation (in general).
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For questions related to recommender systems in the context of machine learning and data mining.
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For questions related to the A* (or A) search algorithm.
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For questions related to the REINFORCE algorithm (or update rule), which is a policy gradient algorithm, that is, an algorithm which estimates the policy directly (that is, without first estimating an…
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For questions related to the concept of feature extraction, which is a set of techniques used to derive or create features from the existing set of features. Feature extraction is different from featu…
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For questions related to BERT (which stands for Bidirectional Encoder Representations from Transformers), a language representation model introduced in the paper "BERT: Pre-training of Deep Bidirectio…
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For questions related to AlphaGo Zero, which is a version of DeepMind's Go software, AlphaGo, that does not use data from human games and it is stronger than AlphaGo. There is a generalized version of…
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For questions related to the concept of dropout, which refers to the dropping out units in a neural network (NN), during the training of the NN, so that to avoid overfitting. The dropout method is a r…