Technology, Science and Universe
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- Exploratory Behavior Description: Exploratory behavior refers to the actions taken by an agent to discover new information in its environment. This concept is(...) Read more
- Effective Learning Rate Description: The effective learning rate is a fundamental concept in the field of reinforcement learning, referring to the speed at which an(...) Read more
- Evolving Strategies Description: Evolutionary Strategies in the context of reinforcement learning are approaches that allow an agent to adapt and improve its(...) Read more
- Exploration Horizon Description: The exploration horizon in the context of reinforcement learning refers to the time frame in which an agent makes decisions and(...) Read more
- Evolving Policies Description: Evolutionary policies in the context of reinforcement learning refer to strategies that adapt and improve over time as the agent(...) Read more
- Encoder Description: An encoder is a device that converts the position or movement of an object into an electrical signal. This conversion process(...) Read more
- Exemplarization Description: Exemplarization in the context of Generative Adversarial Networks (GANs) refers to the process of creating exemplary instances used(...) Read more
- Exponential Linear Unit Description: The Exponential Linear Unit (ELU) is an activation function used in deep learning models, particularly in convolutional neural(...) Read more
- Exploding Gradients Description: Exploding gradients are a phenomenon that occurs during the training of neural networks, especially in deep architectures like(...) Read more
- Error Gradient Description: The error gradient in the context of neural networks refers to the derivative of the error function with respect to the model(...) Read more
- Exemplar Memory Description: The 'Memory of Exemplars' is a memory architecture that retains specific examples to aid in learning within various machine(...) Read more
- Efficient Coding Description: Efficient coding is a fundamental principle in the field of artificial intelligence, particularly in neural networks, suggesting(...) Read more
- Eigenvalue Description: The eigenvalue is a fundamental concept in linear algebra and refers to a scalar value associated with a linear transformation of a(...) Read more
- Eigenvector Description: An eigenvector is a fundamental concept in linear algebra that refers to a non-zero vector that, when transformed by a matrix,(...) Read more
- End-to-End Model Description: The end-to-end model is an approach in data processing that allows transforming input directly into output without the need for(...) Read more
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