July 2018
Intermediate to advanced
474 pages
13h 37m
English
The first step is to acquire some data to work with. For this chapter, we will require a lot of text data to convert it into tokens and visualize it to understand how neural networks rank word vectors based on Euclidean and Cosine distances. It is an important step in understanding how different words get associated with each other. This, in turn, can be used to design better, more efficient language and text-processing models.
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