| Description |
1 online resource |
| Contents |
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. |
| Summary |
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. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Python (Computer program language)
|
|
Machine learning.
|
|
Neural networks (Computer science)
|
|
Machine learning |
|
Neural networks (Computer science) |
|
Python (Computer program language) |
| Added Author |
Paul, Sayak, author.
|
| Other Form: |
Print version: 9781789956085 |
| ISBN |
9781789953794 (electronic book) |
|
1789953790 (electronic book) |
|
9781789956085 (paperback) |
|
