Examples of 'training examples' in a sentence
Meaning of "training examples"
training examples: Training examples refer to the data instances used to train a machine learning model. These examples are input-output pairs that help the model learn patterns and make predictions. This phrase is commonly used in the field of artificial intelligence and machine learning
How to use "training examples" in a sentence
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training examples
Performance goes up with the number of training examples.
Update existing training examples following a revision project.
The residual error is the sum of all training examples.
A batch of training examples is a set of multiple training examples.
Updating of ipc training examples.
The training examples are mapped into multidimensional feature space.
Whereby stacking up different training examples in different columns of.
The training data herein consists of a set of training examples.
So take the training examples and stack them in columns.
Technical vocational training examples.
Updating of the ipc training examples according to the seventh edition of the ipc.
The data associated with different training examples and.
These approved training examples would be made available after consideration by the Editorial Board.
Publication of ipc training examples.
Training examples are vectors in a multidimensional feature space, each having a class label.
See also
Input geometric data may be grouped into training examples.
It is efficient to scan the training examples in order of decreasing border ratio.
The standard template should be used for drafting training examples.
Optionally, these training examples may be labeled with binding information.
So learning can still be quite fast for most training examples.
The training examples are vectors in a multidimensional feature space, each with a class label.
It infers a function from labeled training data consisting of a set of training examples.
Update of IPC training examples.
And then develop a system which can learn from those training examples.
In general, the training examples that are closest to the hyperplane are called support vectors.
We repeat this process with all other training examples in our dataset.
And that 's why my training examples are now N dimensional rather N plus one dimensional vectors.
These algorithms directly construct hypotheses from the training examples themselves.
Updating and revision of IPC training examples should include the following actions,.
If you want to compute all the outputs on your m training examples examples.
Assume we have a bunch of training examples ( sentences and associated part-of-speech labels ).
This is learning by epoch weights updated after all the training examples are presented.
Presenting the training examples ranked by the confidence metrics is indicated by block 400 in FIG.
The cost function computes a mean penalty over all the training examples.
Updating of training examples 31.
The rules are selected so that they present general properties of the available training examples.
So it 's really the number of training examples you have seen.
The Special Rapporteur highlights the practices described below as good training examples.
In one-class classification problems all training examples belong to just one class.
Again, the cost function gives us the average cost over all of our training examples.
That 's a lot of training examples.
Because it 's average over, you know, just a small subset, say a thousand training examples.
The network adequately learned the training examples with an average training error of 0.011.
Remember our notation M was the number of training examples.
Under the assumption that our training examples were IID, or.
This algorithm maintains a set of weights w t { \ displaystyle w ^ { t } } over the training examples.
And we will be more confident that adding extra training examples would improve performance.
The data is known as training data, and consists of a set of training examples.
In both cases, the input consists of the k closest training examples in the feature space.
We need to combine theory, with practical education and strong training examples.
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