Skip to Main Content
Python Deep Learning Projects
book

Python Deep Learning Projects

by Matthew Lamons, Rahul Kumar, Abhishek Nagaraja
October 2018
Intermediate to advanced content levelIntermediate to advanced
472 pages
10h 57m
English
Packt Publishing
Content preview from Python Deep Learning Projects

Exploring the CNN model

You might be asking yourself, how do you use CNNs to classify text when they are most commonly used in image processing?

There are many discussions in the literature, linked at the bottom of this tip, which have proven that CNNs are a generic feature extraction function that can compute location invariance and compositionality. The location invariance property helps the model to capture the context of words, irrespective of their occurrence in the corpus. Compositionality helps to derive higher-level representations using lower-level features:
  • A CNN Based Scene Chinese Text Recognition Algorithm with Synthetic Data Engine ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Hands-On Python Deep Learning for the Web

Hands-On Python Deep Learning for the Web

Anubhav Singh, Sayak Paul

Publisher Resources

ISBN: 9781788997096Supplemental Content