Examples of using Preprocessing in English and their translations into Chinese
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Political
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Ecclesiastic
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Programming
Speech recognition used to involve a lot of preprocessing, gaussian mixture models and hidden markov models, but today consist almost entirely of neural net stuff.
This release includes workflows for simulated environments as well as a distributed platform for preprocessing, training, and exporting models in production.
Data preprocessing is one of the most critical steps in all machine learning application.
Typically, the header stop point is the first token in the primary source file that does not belong to a preprocessing directive.
It is often used in preprocessing to remove anomalous data from the dataset.
During preprocessing, the imagery is cleaned and consolidated into final serving data.
Contraction Hierarchies provide a nice trade off between quick preprocessing times, low space requirements(0.4 GiB) and fast query times.
After preprocessing, a preprocessing translation unit is called a translation unit.
We can improve this by using preprocessing techniques, like stemming, removing stopwords, and using n-grams.
Standard approaches use random approach for selection of target samples for preprocessing.
B represents essentially the"constant overhead" of your operation, for example some preprocessing that you do that doesn't depend on the size of the collection.
The easy-to-use interface allows you to set minimal conditions for preprocessing and neural network learning.
Owing to its high processing power and storage capacity, the industrial PC can perform more advanced preprocessing and analysis than the other two edge options.
If so, the largest is used, that is, the one representing the most preprocessing directives from the primary source file.
The production process is divided mainly into two steps: preprocessing(ingredient processing, food production and processing), and post-processing(distribution, weighing, filling and packing).
As for the StandardScaler and Normalizer classes, the preprocessing module provides a companion function binarize to be used when the transformer API is not necessary.
RapidMiner provides data mining and machine learning procedures including: data loading and transformation(ETL), data preprocessing and visualization, modelling, evaluation, and deployment.
Scribbles is“a document-watermarking preprocessing system to embed“Web beacon”-style tags into documents that are likely to be copied by insiders, whistleblowers, journalists or others.”.
It brings together TensorRT for inference, Video Codec SDK for transcoding and all the required preprocessing and data curation into a single optimized API.
The Model Preprocessing.