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- DistributedDataParallel Description: DistributedDataParallel is a wrapper that enables parallel training across multiple GPUs or nodes, optimizing performance and(...) Read more
- DataParallel Description: DataParallel is a wrapper that enables parallel data processing across multiple GPUs, facilitating the execution of computationally(...) Read more
- Dynamic Computation Graph Description: Dynamic Computation Graph is a fundamental feature of certain deep learning frameworks that allows the computation graph to be(...) Read more
- Dropout Layer Description: The Dropout layer is a regularization technique used in neural networks to prevent overfitting during training. Its operation is(...) Read more
- Dataloader Worker Description: The Dataloader worker is a subprocess responsible for loading data in parallel to the main process, thus optimizing efficiency in(...) Read more
- Dropout Rate Description: The dropout rate is a fundamental concept in the field of regularization for machine learning models, especially in neural(...) Read more
- Dynamic Batch Size Description: Dynamic batch size is a concept in the field of machine learning model training that refers to the ability to adjust the number of(...) Read more
- DrawContours Description: Drawing contours is an essential function in the realm of digital drawing and image editing, allowing users to highlight the edges(...) Read more
- DNN Description: DNN, or Deep Neural Networks, is a class of machine learning models based on neural network architectures with multiple hidden(...) Read more
- Deconvolution Description: Deconvolution is a mathematical process used to reverse the effects of convolution on recorded data. In simple terms, convolution(...) Read more
- Detections Description: Object detection is a fundamental process in computer vision that involves identifying and locating specific objects or features(...) Read more
- DrawKeypoints Description: Drawing Key Points is an essential function in the field of image processing and computer vision. This function allows for the(...) Read more
- Disparity Description: Disparity in 3D vision refers to the difference in the location of an object's image as seen from two different cameras. This(...) Read more
- Dense Optical Flow Description: Dense optical flow is a method used in motion analysis that estimates the displacement of objects between two image frames. This(...) Read more
- Document Scanner Description: A document scanner is a device or software that captures and digitizes documents, converting them into electronic formats that can(...) Read more
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