Reader small image

You're reading from  Deep Learning for Computer Vision

Product typeBook
Published inJan 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781788295628
Edition1st Edition
Languages
Right arrow
Author (1)
Rajalingappaa Shanmugamani
Rajalingappaa Shanmugamani
author image
Rajalingappaa Shanmugamani

Rajalingappaa Shanmugamani is currently working as an Engineering Manager for a Deep learning team at Kairos. Previously, he worked as a Senior Machine Learning Developer at SAP, Singapore and worked at various startups in developing machine learning products. He has a Masters from Indian Institute of TechnologyMadras. He has published articles in peer-reviewed journals and conferences and submitted applications for several patents in the area of machine learning. In his spare time, he coaches programming and machine learning to school students and engineers.
Read more about Rajalingappaa Shanmugamani

Right arrow

Summary


In this chapter, we have understood the problems associated with image captions. We saw a few techniques involving natural language processing and various word2vec models such as GLOVE. We understood several algorithms such as CNN2RNN, metric learning, and combined objective. Later, we implemented a model that combines CNN and LSTM. 

In the next chapter, we will come to understand generative models. We will learn and implement style algorithms from scratch and cover a few of the best models. We will also cover the cool Generative Adversarial Networks (GAN) and its various applications.

 

lock icon
The rest of the page is locked
Previous PageNext Chapter
You have been reading a chapter from
Deep Learning for Computer Vision
Published in: Jan 2018Publisher: PacktISBN-13: 9781788295628

Author (1)

author image
Rajalingappaa Shanmugamani

Rajalingappaa Shanmugamani is currently working as an Engineering Manager for a Deep learning team at Kairos. Previously, he worked as a Senior Machine Learning Developer at SAP, Singapore and worked at various startups in developing machine learning products. He has a Masters from Indian Institute of TechnologyMadras. He has published articles in peer-reviewed journals and conferences and submitted applications for several patents in the area of machine learning. In his spare time, he coaches programming and machine learning to school students and engineers.
Read more about Rajalingappaa Shanmugamani