Singh / Paul Hands-On Python Deep Learning for the Web

Integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow
1. Auflage 2020
ISBN: 978-1-78995-379-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 404 Seiten

No detailed description available for "Hands-On Python Deep Learning for the Web".

Autoren/Hrsg.

Singh, Anubhav

Paul, Sayak

Fachgebiete

• Mathematik | Informatik EDV | Informatik Digital Lifestyle Internet, E-Mail, Social Media
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Multimedia
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Table of Contents - Demystifying Artificial Intelligence and Fundamentals of Machine Learning
- Getting Started with Deep Learning Using Python
- Creating Your First Deep Learning Web Application
- Getting Started with TensorFlow.js
- 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
- 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
- Appendix: Success Stories and Emerging Areas in Deep Learning on the Web

Über Autor(innen)

Singh Anubhav:

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.Paul Sayak:

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.