AI World 2017 Opening Video The AI WORLD 2017 World Artificial Intelligence Conference, hosted by the new intelligence source AI news think tank, was held on November 8 at the National Convention Center in Beijing. The conference, themed ‘AI New Dimensions, China Intelligent+’, featured reports and discussions from over a hundred AI leaders covering the … Read more
Machine Heart Reprint Source: AWS Official Blog Author: Ajay Vohra TensorFlow is an open-source machine learning (ML) library widely used for developing large deep neural networks (DNNs), which require distributed training and utilize multiple GPUs across various hosts.Amazon SageMaker is a managed service that simplifies the ML workflow starting from labeled data through active learning, … Read more
This article mainly summarizes the notes from the CS231n course, adding knowledge from the Deep Learning Book and practical TensorFlow, as well as the Caffe framework. 1. Convolutional Neural Networks 1.1 Convolutional Neural Networks vs. Conventional Neural Networks 1.1.1 Similarities Convolutional networks are a type of neural network specifically designed to process data with a … Read more
Convolutional Neural Networks (CNN): The Core of Image Processing Image recognition, once considered a “deadlock” in artificial intelligence, has now become a highlight of technology. Convolutional Neural Networks (CNN) serve as the core technology for image processing, shining brightly in many practical applications such as autonomous driving, medical image analysis, and facial recognition. So, how … Read more
Click aboveComputer Vision Alliance to get more valuable content For academic sharing only, does not represent the position of this public account, contact for removal in case of infringement Reproduced from: Author丨zzq Source丨https://zhuanlan.zhihu.com/p/68411179 Editor丨Jishi Platform Recommended notes from 985 AI PhD Zhou Zhihua’s “Machine Learning” handwritten notes are officially open-source! Includes PDF download link, Github … Read more
Author: Ye Hu Editor: Tian Xu Introduction Recently, deep CNN networks like ResNet and DenseNet have significantly improved the accuracy of image classification. However, in addition to accuracy, computational complexity is also an important metric for CNN networks. Overly complex networks may be very slow, and specific scenarios, such as autonomous driving, require low latency. … Read more
Click on the above “AI Youdao“, select “Star” public account Heavyweight content delivered first time Author | Raimi Karim Translator | Major Editor | Zhao Xue Produced by | AI Technology Camp (ID: rgznai100) Introduction: In recent years, many Convolutional Neural Networks (CNN) have come into the spotlight, and as their depths become increasingly profound, … Read more
Click Machine Learning Algorithms and Python Learning ，Select Star Don’t miss out on the wonderful content Author | Raimi Karim, Produced by | AI Technology Camp (ID: rgznai100) This article carefully selects 10 detailed diagrams of CNN architectures for discussion. Curated by the author. These diagrams showcase the essence of the entire model without the … Read more
Selected from GitHub Author: Shuai Zheng et al. Translated by: Machine Heart Contributors: Jiang Siyuan This GitHub project implements image semantic segmentation by combining CNN and CRF-RNN models. Readers can follow this project to implement the process using Keras/Tensorflow. Demo Address: http://crfasrnn.torr.vision Project Address: https://github.com/sadeepj/crfasrnn_keras This GitHub project contains methods to implement “CRF-RNN” image semantic … Read more
Authorized Reprint from CSDN Source: codewords.recurse.com Translator: Liu Diwei, Reviewer: Liu Xiangyu, Editor: Zhong Ha Website: http://www.csdn.net Abstract: This article is based on the author’s reading of papers and practical tests, attempting to deceive neural networks. It gradually analyzes neural networks and the mathematical principles behind them, from tool installation to model training. The article … Read more