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- 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
- Visual Data Processing Description: Visual data processing refers to the manipulation and analysis of visual information using neural networks, a type of computational(...) Read more
- Virtual Neural Network Description: A Virtual Neural Network is a conceptual model that simulates the behavior of neurons in a digital environment. These networks are(...) Read more
- Vector Field Description: A vector field is a mathematical representation that assigns a vector to each point in a space. In the context of neural networks(...) Read more
- Vision-based AI Description: Vision-Based AI refers to artificial intelligence systems that use neural networks to perform visual perception tasks. These neural(...) Read more
- Vocal Analysis Description: Vocal analysis is the examination of vocal patterns to derive information about speech. This process involves evaluating acoustic(...) Read more
- Varying Coefficients Description: Variable coefficients are a modeling approach where the coefficients of a function or model can change based on the input data.(...) Read more
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