TensorFlow Lite for Microcontrollers

TensorFlow Lite for Microcontrollers

Translation / TF Community Translation Team Introduction: We previously introduced “The Future of Machine Learning – Miniaturization (Part 1)&(Part 2)“, and many friends expressed great interest and raised some questions. This article provides a detailed introduction to microcontrollers. We welcome friends who are interested and have needs in this area to communicate with us more~ … Read more

Teaching You to Implement PyTorch Operators with CUDA

Introduction CUDA (Compute Unified Device Architecture) is a general parallel computing architecture launched by NVIDIA, enabling GPUs to solve complex computational problems. Developers can use C language to write programs for the CUDA architecture, which can run at ultra-high performance on CUDA-supported processors. Editor | Heart of Autonomous Driving Author | Yuppie@Zhihu Link | https://zhuanlan.zhihu.com/p/595851188 … Read more

Building Deep Neural Networks with C++ in TensorFlow

Building Deep Neural Networks with C++ in TensorFlow

Selected from Matrices.io Author: Florian Courtial Translated by Machine Heart Source: Robot Heart Contributors: Li Zenan, Jiang Siyuan The popular deep learning framework TensorFlow (The Chinese official account of TensorFlow was launched earlier this month) is built on C++, but the vast majority of people develop their models using TensorFlow in Python. With the improvement … Read more

Understanding PyTorch Internals: Insights from Core Developer Edward Z. Yang

Understanding PyTorch Internals: Insights from Core Developer Edward Z. Yang

Follow the WeChat public account “ML_NLP“ Set as “Starred“, heavy content delivered instantly! Compiled by: Machine Heart, Author: Edward Z. Yang Edward Z. Yang, a PhD student at Stanford University and a research engineer at Facebook AI Research, is one of the core developers of the PyTorch open-source project. He gave a talk on the … Read more

An Efficient Secure KNN Classification Protocol

An Efficient Secure KNN Classification Protocol

The new issue of high-level papers is here This issue introduces the paper An efficient secure k nearest neighbor classification protocol with high-dimensional features Published in the INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS The authors are Yang Ruidi and her advisor, Professor Sun Maohua Part 01 Author Introduction Sun MaohuaINTERVIEW Born in 1986 in Shandong, China. … Read more

Overview of Essential OpenCV Knowledge for Computer Vision

Overview of Essential OpenCV Knowledge for Computer Vision

Click on the above “Beginner Learning Vision”, select to add Star or “Top” Valuable content delivered promptly This article is adapted from | Machine Learning Laboratory Today I am very happy to share an article about OpenCV, focusing on the following questions: 1. How to deploy OpenCV. 2. What modules does OpenCV have and what … Read more

An Overview of My Computer Vision Learning Experience

An Overview of My Computer Vision Learning Experience

While sharing my learning experiences, please allow me to introduce myself first. I have been studying computer vision for nearly two years and am currently a first-year master’s student with a research focus on visual SLAM. In the development of the artificial intelligence industry, the important position of computer vision has long been established. Like … Read more

Deploying PyTorch Models on C++ Platforms: A Step-by-Step Guide

Deploying PyTorch Models on C++ Platforms: A Step-by-Step Guide

Click the above“Beginner Learning Vision” to choose to add “star” or “pin” Valuable content delivered promptly From | Zhihu Author | Mars Girl Link | https://zhuanlan.zhihu.com/p/146453159 Recently, due to work needs, I had to deploy a PyTorch model to a C++ platform. The basic process mainly refers to the official teaching examples, during which I … Read more

In-Depth Analysis of PyTorch Dynamic Graphs

In-Depth Analysis of PyTorch Dynamic Graphs

Click on the above“Beginner’s Guide to Vision”, select to add “Bookmark” or “Pin” Heavyweight content delivered at the first moment This article is adapted from: Deep Learning Matters Background The dynamic graph framework of PyTorch is primarily implemented in the code under torch/csrc/autograd. This directory defines three main base classes: Variable, Function, Engine, which together … Read more

Comprehensive Insights into PyTorch Internals from Core Developer

Comprehensive Insights into PyTorch Internals from Core Developer

Source: Ezyang Blog Information Network Engineering Research Center This article is approximately 9000 words long and is recommended for a reading time of over 15 minutes. This article is a long version of a talk about the internal mechanisms of PyTorch. Edward Z. Yang, a PhD student at Stanford University and a research engineer at … Read more