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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!

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