Technology, Science and Universe
a
- AUC (Area Under Curve) Description: The Area Under the Curve (AUC) is a metric used to evaluate the performance of classification models, especially in problems where(...) Read more
- Adagrad Description: Adagrad is an adaptive learning rate optimization algorithm that adjusts the learning rate based on parameter updates. Its main(...) Read more
- Alpha Dropout Description: Alpha Dropout is a regularization technique specifically designed for neural networks that use the Scaled Exponential Linear Unit(...) Read more
- Action Space Description: The 'Action Space' in the context of reinforcement learning refers to the set of all possible actions that an agent can take in a(...) Read more
- Attention Weight Description: The 'Attention Weight' is a coefficient that determines how much focus is given to a particular input in the attention mechanism(...) Read more
- Action Value Description: Action value in the context of reinforcement learning refers to the expected return of taking a certain action in a given state.(...) Read more
- AUC-ROC Description: AUC-ROC, which stands for Area Under the Curve - Receiver Operating Characteristic, is a metric used to evaluate the performance of(...) Read more
- Anchor Boxes Description: Anchor boxes are fundamental tools in the field of computer vision, used for object detection in images and videos. These boxes are(...) Read more
- Adaptive Moment Estimation Description: Adaptive Moment Estimation is an optimization algorithm used in training machine learning models, especially deep learning(...) Read more
- Activation Gradient Description: The activation gradient is a fundamental concept in the field of neural networks, referring to the derivative of the activation(...) Read more
- AutoGrad Description: AutoGrad is a PyTorch package that provides automatic differentiation for all tensor operations. Its main function is to(...) Read more
- ArUco Markers Description: ArUco markers are a type of two-dimensional marker used in augmented reality applications for camera pose estimation and tracking.(...) Read more
- Adaptive Median Filter Description: The Adaptive Median Filter is a type of nonlinear filter used in image processing that replaces each pixel value with the median of(...) Read more
- Affine Matrix Description: The affine matrix is a mathematical tool used in the field of geometric transformations, combining operations such as translation,(...) Read more
- Active Contours Description: Active contours are an advanced image segmentation method that allows for the detection of object edges in an image using curves(...) Read more
SPONSORS
