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Deep Learning for Computer Vision

You're reading from  Deep Learning for Computer Vision

Product type Book
Published in Jan 2018
Publisher Packt
ISBN-13 9781788295628
Pages 310 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Rajalingappaa Shanmugamani Rajalingappaa Shanmugamani
Profile icon Rajalingappaa Shanmugamani
LinkedIn
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.
See other products by Rajalingappaa Shanmugamani

Table of Contents (17) Chapters

Title Page
Copyright and Credits
Packt Upsell
Foreword
Contributors
Preface
1. Getting Started 2. Image Classification 3. Image Retrieval 4. Object Detection 5. Semantic Segmentation 6. Similarity Learning 7. Image Captioning 8. Generative Models 9. Video Classification 10. Deployment 1. Other Books You May Enjoy

Deployment in the cloud

The models have to be deployed in the cloud for several applications. We will look at major cloud service providers for this purpose.

AWS

The Amazon Web Services (AWS) extends support to the development and deployment of TensorFlow-based models. Sign up for AWS at https://aws.amazon.com/ and select one of the Amazon Machine Images (AMI). AMIs are images of machines with all the required software installed. You need not worry about installing the packages. AWS provides Deep Learning AMI (DLAMI) for ease of training and deploying deep learning models. There are several options to choose from. Here, we will use Conda as it comes with several packages required for running TensorFlow. There are two options for Python: version 2 and 3. The following code will activate TensorFlow with Keras 2 on Python 3 on CUDA 8:

source activate tensorflow_p36

The following code will activate TensorFlow with Keras 2 on Python 2 on CUDA 8:

source activate tensorflow_p27

Note

You can visit https...

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Authors (1)

Profile icon Rajalingappaa Shanmugamani
LinkedIn
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
See other products by Rajalingappaa Shanmugamani

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