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PyTorch Lightning is an open-source Python library that provides a high-level interface for PyTorch, a popular deep learning framework. [1] It is a lightweight and high-performance framework that organizes PyTorch code to decouple research from engineering, thus making deep learning experiments easier to read and reproduce.
Although the Python interface is more polished and the primary focus of development, PyTorch also has a C++ interface. [14] A number of pieces of deep learning software are built on top of PyTorch, including Tesla Autopilot, [15] Uber's Pyro, [16] Hugging Face's Transformers, [17] PyTorch Lightning, [18] [19] and Catalyst. [20] [21]
The torch package also simplifies object-oriented programming and serialization by providing various convenience functions which are used throughout its packages. The torch.class(classname, parentclass) function can be used to create object factories ().
The weather service also highlights that lightning “will travel through the wiring and plumbing if your building is struck.” If you are outside when the storm hits, “do not lie on the ground ...
People who purchased the oven gloves should stop using them and contact QVC for a refund. The company can be reached at 888-770-7119 from 8:30 a.m. to 6 p.m. Eastern Time Monday through Friday or ...
In an interview with Good Housekeeping, 'Yellowstone' actress Kelly Reilly reflected on her time portraying Beth Dutton on the Paramount Network drama series.
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
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