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You're reading from  Hands-On Python Deep Learning for the Web

Product typeBook
Published inMay 2020
Reading LevelBeginner
PublisherPackt
ISBN-139781789956085
Edition1st Edition
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Authors (2):
Anubhav Singh
Anubhav Singh
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Anubhav Singh

Anubhav Singh, a web developer since before Bootstrap was launched, is an explorer of technologies, often pulling off crazy combinations of uncommon tech. An international rank holder in the Cyber Olympiad, he started off by developing his own social network and search engine as his first projects at the age of 15, which stood among the top 500 websites of India during their operational years. He's continuously developing software for the community in domains with roads less walked on. You can often catch him guiding students on how to approach ML or the web, or both together. He's also the founder of The Code Foundation, an AI-focused start-up. Anubhav is a Venkat Panchapakesan Memorial Scholarship awardee and an Intel Software Innovator.
Read more about Anubhav Singh

Sayak Paul
Sayak Paul
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Sayak Paul

Sayak Paul is currently with PyImageSearch, where he applies deep learning to solve real-world problems in computer vision and bring solutions to edge devices. He is responsible for providing Q&A support to PyImageSearch readers. His areas of interest include computer vision, generative modeling, and more. Previously at DataCamp, Sayak developed projects and practice pools. Prior to DataCamp, Sayak worked at TCS Research and Innovation (TRDDC) on data privacy. There, he was a part of TCS's critically acclaimed GDPR solution called Crystal Ball. Outside of work, Sayak loves to write technical articles and speak at developer meetups and conferences.
Read more about Sayak Paul

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Summary

In this chapter, we took a detailed look at the term API. In Chapter 3, Creating Your First Deep Learning Web Application, we saw how an API can be written in Python using Flask and we saw how to use that API in a web application. We now know how an API is different from a language library and how important it is to make use of APIs. We became familiar with a variety of deep learning APIs that are offered by some top-notch organizations. 

As we progress through the upcoming chapters, we will see how to use these APIs to build powerful and intelligent web applications. We will start with the deep learning APIs provided by Google Cloud Platform in the next chapter. 

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Hands-On Python Deep Learning for the Web
Published in: May 2020Publisher: PacktISBN-13: 9781789956085

Authors (2)

author image
Anubhav Singh

Anubhav Singh, a web developer since before Bootstrap was launched, is an explorer of technologies, often pulling off crazy combinations of uncommon tech. An international rank holder in the Cyber Olympiad, he started off by developing his own social network and search engine as his first projects at the age of 15, which stood among the top 500 websites of India during their operational years. He's continuously developing software for the community in domains with roads less walked on. You can often catch him guiding students on how to approach ML or the web, or both together. He's also the founder of The Code Foundation, an AI-focused start-up. Anubhav is a Venkat Panchapakesan Memorial Scholarship awardee and an Intel Software Innovator.
Read more about Anubhav Singh

author image
Sayak Paul

Sayak Paul is currently with PyImageSearch, where he applies deep learning to solve real-world problems in computer vision and bring solutions to edge devices. He is responsible for providing Q&A support to PyImageSearch readers. His areas of interest include computer vision, generative modeling, and more. Previously at DataCamp, Sayak developed projects and practice pools. Prior to DataCamp, Sayak worked at TCS Research and Innovation (TRDDC) on data privacy. There, he was a part of TCS's critically acclaimed GDPR solution called Crystal Ball. Outside of work, Sayak loves to write technical articles and speak at developer meetups and conferences.
Read more about Sayak Paul