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- Generative Adversarial Network Description: Generative Adversarial Networks (GANs) are a machine learning framework consisting of two neural networks that compete against each(...) Read more
- Group Normalization Description: Group normalization is a normalization technique used in neural networks that divides channels into groups, allowing each group to(...) Read more
- Gradient Flow Description: Gradient flow is a fundamental method in training neural networks, based on the propagation of gradients through the network to(...) Read more
- Gaussian Noise Description: Gaussian noise is a type of statistical noise characterized by having a probability density function that follows the normal(...) Read more
- Gradient Penalty Description: Gradient penalty is a regularization technique used in the field of machine learning and model optimization. Its main goal is to(...) Read more
- Global Average Pooling Description: Global Average Pooling (GAP) is an operation used in Convolutional Neural Networks (CNNs) that transforms the output of each(...) Read more
- Gradient-Based Learning Description: Gradient-Based Learning is a fundamental approach in training machine learning models, especially in neural networks and recurrent(...) Read more
- Gradient Ascent Description: Gradient Ascent is a fundamental optimization algorithm in the field of supervised learning and machine learning. Its main goal is(...) Read more
- Group Lasso Description: Group Lasso is a regularization technique that extends the traditional Lasso method, designed to handle sets of variables that are(...) Read more
- Group Decision Tree Description: The Group Decision Tree is a supervised learning model used to make decisions based on multiple criteria, considering the(...) Read more
- Graph Clustering Description: Graph clustering is a method of grouping vertices in a graph such that the vertices in the same group are more similar to each(...) Read more
- Geometric Clustering Description: Geometric clustering refers to clustering methods that use geometric properties of data points to form groups. This approach is(...) Read more
- Gabor Filter Description: A Gabor filter is a linear filter used for edge detection and texture analysis, often applied in image processing and computer(...) Read more
- Glycemic Index Description: The glycemic index (GI) is a classification system that measures how quickly carbohydrates in foods raise blood glucose levels(...) Read more
- Generalized Method of Moments Description: The generalized method of moments (GMM) is a statistical approach that extends the classical method of moments, allowing for the(...) Read more
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