Hands-on Python deep learning for web a comprehensive guide to integrating neural network architectures to bring smart automation for web

This book will help you successfully implement deep learning in Python to create smart web applications from scratch. You will learn how deep learning can transform a simple web app into a smart, business-friendly product. You will also develop neural networks using open-source libraries and also in...

Полное описание

Библиографическая информация
Главный автор: Singh, Anubhav
Другие авторы: Paul, Sayak
Формат: Электронная книга
Язык:English
Публикация: Birmingham Packt Publishing, 2020.
Предметы:
Online-ссылка:EBSCOhost
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Оглавление:
  • Table of ContentsDemystifying Artificial Intelligence and Fundamentals of Machine LearningGetting Started with Deep Learning Using PythonCreating Your First Deep Learning Web ApplicationGetting Started with TensorFlow.jsDeep Learning through APIsDeep Learning on Google Cloud Platform Using PythonDL on AWS Using Python: Object Detection and Home AutomationDeep Learning on Microsoft Azure Using PythonA General Production Framework for Deep Learning-Enabled WebsitesSecuring Web Apps with Deep LearningDIY
  • A Web DL Production EnvironmentCreating an E2E Web App Using DL APIs and Customer Support ChatbotAppendix: Success Stories and Emerging Areas in Deep Learning on the Web.