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fastText Quick Start Guide
book

fastText Quick Start Guide

by Joydeep Bhattacharjee
July 2018
Intermediate to advanced content levelIntermediate to advanced
194 pages
5h 22m
English
Packt Publishing
Content preview from fastText Quick Start Guide

RNN architectures

NLP has always been considered to be an excellent use case for LSTMs and RNN-type neural architectures. LSTMs and RNNs use sequential processing. NLP has always been considered one of the biggest use cases because the meaning of any sentence is context-based. The meaning of a word can be considered to have meaning based on all the words that came before it:

Now, when you are running an LSTM network, you need to convert the words into an embedding layer. Generally in such cases, a random initializer is used. But, you probably should be able to increase the performance of the model using a fastText model. Let's take a look ...

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Publisher Resources

ISBN: 9781789130997Supplemental Content