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- Optimal Model Description: The 'Optimal Model' in the context of Deep Learning refers to the model that provides the best performance for a specific task,(...) Read more
- Output Distribution Description: The output distribution in the context of Generative Adversarial Networks (GANs) refers to the probability distribution of the(...) Read more
- Optimization Criterion Description: The optimization criterion in the context of Deep Learning refers to the measure or standard used to evaluate the performance of a(...) Read more
- Orthogonal Neural Network Description: The Orthogonal Neural Network is a type of neural network characterized by the use of orthogonal transformations in its(...) Read more
- Online Inference Description: Online inference is the process of making predictions in real-time as data is received. This approach is fundamental in(...) Read more
- Out-of-Distribution Detection Description: Out-of-distribution (OOD) detection refers to the task of identifying whether a sample comes from the same distribution as the(...) Read more
- Output Vector Description: The output vector in neural networks is a set of values that represent the responses or predictions generated by the network after(...) Read more
- Overlapping Regions Description: Overlapping regions are areas in an image where multiple objects or features coexist, complicating the task of identification and(...) Read more
- Output Layer Activation Description: The activation of the output layer in a neural network is a crucial process that determines how the outputs generated by the(...) Read more
- Orthogonal Regularization Description: Orthogonal regularization is a technique used in the field of neural networks to prevent overfitting, a common problem in training(...) Read more
- Optimal Substructure Description: Optimal substructure is a fundamental property in algorithm theory that refers to the ability of a problem to be broken down into(...) Read more
- Ordinal Classification Description: Ordinal classification is a supervised learning task where the categories assigned to instances have a natural order. Unlike(...) Read more
- Optimal Parameters Description: Optimal parameters in the context of Generative Adversarial Networks (GANs) refer to the ideal set of configurations that minimize(...) Read more
- Observation Space Description: The 'Observation Space' refers to the set of all possible observations that can be made in a given environment. In the context of(...) Read more
- Open Vocabulary Description: Open vocabulary is a fundamental concept in the field of natural language processing (NLP) and large language models. It refers to(...) Read more
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