May 2020
Intermediate to advanced
404 pages
10h 52m
English
Overview
Dive into the world of deep learning and web development with "Hands-On Python Deep Learning for the Web." This comprehensive guide helps you learn how to effectively implement neural networks in web applications using Python frameworks like Flask and Django. By the end of this book, you'll be equipped to design and deploy intelligent web apps.
What this Book will help me do
- Build and deploy web apps with integrated deep learning functionalities using Python.
- Leverage frameworks like Flask and Django to create robust web application frontends.
- Develop and deploy neural networks using open-source libraries like TensorFlow.
- Explore RESTful APIs creation for advancing web automation.
- Implement cloud computing and AI APIs for scalable solutions.
Author(s)
Anubhav Singh and None Paul are seasoned professionals in the domains of Python programming, web development, and AI/ML implementation. With a penchant for simplifying complex topics, they provide a hands-on approach to technical learning, ensuring that readers not only understand but can directly apply the knowledge.
Who is it for?
This book is perfect for those familiar with Python and basic machine learning concepts who want to level up their skills in the intersection of AI and web development. It caters to data scientists aiming to deploy applications, to web developers eager to integrate smart components, and other practitioners interested in direct applications of DL in production environments.
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