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Deep Learning For Dummies
book

Deep Learning For Dummies

by John Paul Mueller, Luca Massaron
May 2019
Intermediate to advanced content levelIntermediate to advanced
368 pages
9h 55m
English
For Dummies
Content preview from Deep Learning For Dummies

Chapter 14

Working on Language Processing

IN THIS CHAPTER

Bullet Discovering Natural Language Processing

Bullet Finding out how to turn words into numbers in deep learning

Bullet Mapping words and their meanings into word embeddings

Bullet Creating a sentiment analysis system using deep learning RNNs

Acomputer can’t understand language; it only processes language for specific applications. In addition, a computer can’t process language unless it’s highly formal and precise, such as a programming language. Rigid syntax rules and grammar enables a computer to turn a program written by a developer in a computer language like Python into the machine language that determines what tasks the computer will perform. Human language is not at all similar to a computer’s language. Human language often lacks a precise structure and is full of errors, contradictions, and ambiguities, yet it works well for humans, with some effort on the part of the hearer, to serve human society and the progress of knowledge.

Programming a computer to process human language is therefore a daunting task, which is only recently possible using ...

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Publisher Resources

ISBN: 9781119543046Purchase book