Technology, Science and Universe
g
- Governance Reviews Description: Governance Reviews in the context of artificial intelligence (AI) ethics refer to systematic assessments of the effectiveness of(...) Read more
- Guidance for Developers Description: The 'Developer Guidance' in the context of artificial intelligence (AI) ethics refers to a set of recommendations and principles(...) Read more
- Gated Recurrent Unit (GRU) Description: The Gated Recurrent Unit (GRU) is a type of recurrent neural network architecture that uses gating mechanisms to control the flow(...) Read more
- Graph Neural Network (GNN) Description: Graph Neural Networks (GNN) are a type of neural network specifically designed to process structured data such as graphs. Unlike(...) Read more
- Gradient Accumulation Description: Gradient accumulation is a technique used in training deep learning models, especially in various types of neural networks. Its(...) Read more
- Gaussian Mixture Model (GMM) Description: The Gaussian Mixture Model (GMM) is a probabilistic model that assumes all data points are generated from a mixture of several(...) Read more
- Graph Convolutional Network (GCN) Description: The Graph Convolutional Network (GCN) is a type of neural network that operates directly on graphs, using the graph structure to(...) Read more
- Generative Adversarial Network (GAN) Description: The Generative Adversarial Network (GAN) is a machine learning framework consisting of two neural networks that compete against(...) Read more
- Gradient Noise Description: Gradient noise refers to the random fluctuations that occur in the gradient estimates during the training process of machine(...) Read more
- Gradient Estimation Description: Gradient estimation is a fundamental method in the field of optimization, used to find the minimum or maximum of a function. This(...) Read more
- Gradient Tracking Description: Gradient tracking is a fundamental method in the training of machine learning models, especially in neural networks. This approach(...) Read more
- Generalized Linear Model (GLM) Description: The Generalized Linear Model (GLM) is an extension of linear regression that allows modeling response variables that do not follow(...) Read more
- Gumbel Distribution Description: The Gumbel distribution is a continuous probability distribution primarily used in extreme value theory. This distribution is(...) Read more
- GetAffineTransform Description: Obtaining Affine Transformation refers to the process of calculating the matrix that allows transforming a set of points into(...) Read more
- GetPerspectiveTransform Description: Obtaining Perspective Transformation is a mathematical process that allows calculating the transformation matrix needed to convert(...) Read more
SPONSORS
