Email the Author

You can use this page to email Shenshen Fu about Build Your Own Deep Learning Inference Engine.

Please include an email address so the author can respond to your query

This message will be sent to Shenshen Fu

This site is protected by reCAPTCHA and the Google  Privacy Policy and  Terms of Service apply.

About the Book

KuiperInfer: Build Your Own Deep Learning Inference Framework from Scratch

KuiperInfer is an open source project that teaches you how to build a high performance deep learning inference framework in C++. Written by expert developer zjhellofss, this book guides you through implementing key components like computational graphs, common operators, and optimizations.

Follow along with the video tutorials on Bilibili to gain first-hand engineering experience. Understand techniques like im2col and kernel fusion to accelerate neural network inference. The well-structured C++ codebase features extensive unit testing.

This hands-on guide covers:

  • Essential deep learning framework architecture
  • Designing and implementing computational graphs
  • Supporting operators like convolution, pooling, and fully connected layers
  • Optimizing performance critical parts
  • Deploying models like ResNet and YOLOv5

Whether you want to level up your skills or ace technical interviews, building your own inference framework from the ground up will give you a huge boost. Get started with KuiperInfer!


About the Author

Shenshen Fu’s avatar Shenshen Fu

Zjhellofss is an experienced C++ engineer with a passion for deep learning and high performance computing. He contributes extensively to open source projects like KuiperInfer, focusing on topics like neural network inference optimization and engineering best practices.

A seasoned developer, he provides tutorials on implementing real world AI applications and delivering robust production-grade code. His teaching emphasizes practical engineering over theory.

When not coding, he enjoys sports and street dance. As an instructor, he aims to inspire engineers to build and create. Follow him on GitHub and YouTube for more machine learning content.

Logo white 96 67 2x

Publish Early, Publish Often

  • Path
  • There are many paths, but the one you're on right now on Leanpub is:
  • Myinfer › Email Author › New
    • READERS
    • Newsletters
    • Weekly Sale
    • Monthly Sale
    • Store
    • Home
    • Redeem a Token
    • Search
    • Support
    • Leanpub FAQ
    • Leanpub Author FAQ
    • Search our Help Center
    • How to Contact Us
    • FRONTMATTER PODCAST
    • Featured Episode
    • Episode List
    • MEMBERSHIPS
    • Reader Memberships
    • Department Reader Memberships
    • Author Memberships
    • Your Membership
    • COMPANY
    • About
    • About Leanpub
    • Blog
    • Contact
    • Press
    • Essays
    • AI Services
    • Imagine a world...
    • Manifesto
    • More
    • Partner Program
    • Causes
    • Accessibility
    • AUTHORS
    • Write and Publish on Leanpub
    • Create a Book
    • Create a Bundle
    • Create a Course
    • Create a Track
    • Testimonials
    • Why Leanpub
    • Services
    • TranslateAI
    • TranslateWord
    • TranslateEPUB
    • PublishWord
    • Publish on Amazon
    • CourseAI
    • GlobalAuthor
    • Marketing Packages
    • IndexAI
    • Author Newsletter
    • The Leanpub Author Update
    • Author Support
    • Author Help Center
    • Leanpub Authors Forum
    • The Leanpub Manual
    • Supported Languages
    • The LFM Manual
    • Markua Manual
    • API Docs
    • Organizations
    • Learn More
    • Sign Up
    • LEGAL
    • Terms of Service
    • Copyright Policy
    • Privacy Policy
    • Refund Policy

*   *   *

Leanpub is copyright © 2010-2025 Ruboss Technology Corp.
All rights reserved.

This site is protected by reCAPTCHA
and the Google  Privacy Policy and  Terms of Service apply.

Leanpub requires cookies in order to provide you the best experience. Dismiss