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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 ().
PyTorch supports various sub-types of Tensors. [29] Note that the term "tensor" here does not carry the same meaning as tensor in mathematics or physics. The meaning of the word in machine learning is only superficially related to its original meaning as a certain kind of object in linear algebra. Tensors in PyTorch are simply multi-dimensional ...
The Open Neural Network Exchange (ONNX) [ˈɒnɪks] [2] is an open-source artificial intelligence ecosystem [3] of technology companies and research organizations that establish open standards for representing machine learning algorithms and software tools to promote innovation and collaboration in the AI sector.
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.
Tags templates with inadequate or nonexistent documentations. Template parameters This template prefers block formatting of parameters. Parameter Description Type Status Has details on talk page talk 1 Shows "See the talk page for details" if a value is supplied Boolean optional Date date Date tagged Auto value {{subst:CURRENTMONTHNAME}} {{subst:CURRENTYEAR}} String optional See also ...
Each file represents a single experiment and contains a single anomaly. The dataset represents a multivariate time series collected from the sensors installed on the testbed. There are two markups for Outlier detection (point anomalies) and Changepoint detection (collective anomalies) problems
This template provides a standard format for labeling links to official websites, stating "Official website" with the website linked. If no parameters are set in this template, the template will use the official website entered into Wikidata, if available. Template parameters Parameter Description Type Status URL 1 url URL Leave this blank to use a URL entered into Wikidata. If there is no ...
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]