Machine Learning for the Web by Isoni Andrea

Author:Isoni, Andrea [Isoni, Andrea]
Language: eng
Format: azw3, epub
Publisher: Packt Publishing
Published: 2016-07-29T04:00:00+00:00

In both cases, the matrix W transforms the input vectors into the hidden layer and W' transforms from the hidden layer to the output layer y, where the target (or context) is evaluated. In the training phase, the error from the true target (or context) is computed and used to calculate a stochastic gradient descent to update both the matrices W and W'. We will give a more mathematical description of the CBOW method in the following section. Note that the Skip-gram equations are similar and we will refer to the Rong (2015) paper for further details.

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