Resource retrieval

Retrieve the resource object:

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Get the pre-trained net:

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Basic usage

Use the net to obtain a list of word vectors:

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Obtain the dimensions of the vectors:

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Use the embedding layer inside a NetChain:

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Feature visualization

Create two lists of related words:

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Visualize relationships between the words using the net as a feature extractor:

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Word analogies

Get the pre-trained net:

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Get a list of words:

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Obtain the vectors:

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Create an association whose keys are words and whose values are vectors:

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Find the eight nearest words to "king":

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Man is to king as woman is to:

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France is to Paris as Germany is to:

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Net information

Inspect the number of parameters of all arrays in the net:

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Obtain the total number of parameters:

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Obtain the layer type counts:

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Export to MXNet

Export the net into a format that can be opened in MXNet:

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Export also creates a net.params file containing parameters:

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Get the size of the parameter file:

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The size is similar to the byte count of the resource object:

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Represent the MXNet net as a graph:

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