Hands-On Python Deep Learning for the 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 integrate them with different web stack front-ends.
Offered by
Difficulty Level
Intermediate
Completion Time
13h28m
Language
English
About Book
Who Is This Book For?
This deep learning book is for data scientists, machine learning practitioners, and deep learning engineers who are looking to perform deep learning techniques and methodologies on the web. You will also find this book useful if you’re a web developer who wants to implement smart techniques in the browser to make it more interactive. Working knowledge of the Python programming language and basic machine learning techniques will be beneficial.
Hands-On Python Deep Learning for the Web
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 13h28m total length
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
Related Resources
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