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- Validation Curve Description: The Validation Curve is a graph that illustrates how the performance of a machine learning model varies with different(...) Read more
- Varying Coefficient Model Description: The Varying Coefficient Model is a statistical approach that allows the relationship between variables to change over time or(...) Read more
- Variable Rate Description: The variable rate is a term used in the field of machine learning to describe a learning rate that can adjust its value based on(...) Read more
- Volumetric Data Description: Volumetric data are representations of a three-dimensional space that allow modeling and analyzing phenomena in various(...) Read more
- Vagueness Description: Vagueness is an inherent property of models in natural language processing, anomaly detection, and machine learning that indicates(...) Read more
- Vector Quantization Description: Vector quantization is a process that aims to approximate a large set of vectors with a smaller set, thus facilitating the(...) Read more
- VGG Description: VGG is a convolutional neural network (CNN) architecture that stands out for its depth and performance in image classification(...) Read more
- VAE Description: The Variational Autoencoder (VAE) is a generative model that learns to represent data in a latent space. Through a neural network(...) Read more
- Vanishing Gradient Description: The vanishing gradient is a phenomenon that occurs during the training of deep neural networks, where the gradients of the loss(...) Read more
- VGGNet Description: VGGNet is a convolutional neural network (CNN) architecture that has become a standard in the field of image classification.(...) Read more
- Vision Transformer Description: The Vision Transformer is a model architecture that applies the principles of transformers, originally designed for natural(...) Read more
- Vision-based Learning Description: Vision-Based Learning is an approach within the field of neural networks that focuses on processing and interpreting visual data.(...) Read more
- Vocal Synthesis Description: Voice synthesis is the generation of human-like speech using neural networks. This process involves converting text into speech,(...) Read more
- Visual Attention Description: Visual attention is a mechanism in neural networks that allows models to focus on specific parts of visual input, thereby enhancing(...) Read more
- Vocal Feature Extraction Description: Vocal feature extraction is the process of analyzing and extracting relevant features from vocal data using machine learning(...) Read more
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