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Hands-On Python Deep Learning for the Web

You're reading from   Hands-On Python Deep Learning for the Web Integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow

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Product type Paperback
Published in May 2020
Publisher Packt
ISBN-13 9781789956085
Length 404 pages
Edition 1st Edition
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Authors (2):
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Sayak Paul Sayak Paul
Author Profile Icon Sayak Paul
Sayak Paul
Anubhav Singh Anubhav Singh
Author Profile Icon Anubhav Singh
Anubhav Singh
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Toc

Table of Contents (19) Chapters Close

Preface Artificial Intelligence on the Web
Demystifying Artificial Intelligence and Fundamentals of Machine Learning FREE CHAPTER Using Deep Learning for Web Development
Getting Started with Deep Learning Using Python Creating Your First Deep Learning Web Application Getting Started with TensorFlow.js Getting Started with Different Deep Learning APIs for Web Development
Deep Learning through APIs Deep Learning on Google Cloud Platform Using Python DL on AWS Using Python: Object Detection and Home Automation Deep Learning on Microsoft Azure Using Python Deep Learning in Production (Intelligent Web Apps)
A General Production Framework for Deep Learning-Enabled Websites Securing Web Apps with Deep Learning DIY - A Web DL Production Environment Creating an E2E Web App Using DL APIs and Customer Support Chatbot Other Books You May Enjoy Appendix: Success Stories and Emerging Areas in Deep Learning on the Web

Summary

In this chapter, we explored some of the famous and groundbreaking deep learning-based services provided by GCP. We learned how to use Dialogflow using Python to build conversational chatbots that can learn over time. We used the Cloud Vision API to predict the objects recognized in any image. We could easily extrapolate this to a video and achieve similar results. We finally covered the Cloud Translate API for performing deep NLP-based translation using the service. All the major services provided by GCP are accessible over APIs, which makes them easily replaceable in any project. The accuracy of models created by highly trained professionals is commendable and makes the life of a web developer easier when trying to build AI-powered web solutions.

In the next chapter, we will introduce the features offered by Amazon Web Services (AWS) to integrate AI with web applications...

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