Hello everyone! Today I want to introduce an amazing AI tool—TensorFlow. How easy is it to build an image classification model with TensorFlow? Let me give you a few very practical examples: Scenario 1: Quickly Build a Simple Image Classification Model Suppose you have some images and you want the model to recognize which category … Read more
New Intelligence Column Author: Zhang Hao [New Intelligence Guide] The author of this article comes from the Machine Learning and Data Mining Institute (LAMDA) of the Computer Science Department of Nanjing University. This article systematically summarizes the applications of deep learning in four fundamental tasks in the field of computer vision, including image classification, localization, … Read more
This article is reprinted from the PaddlePaddle WeChat official account Editor’s Note: Written by a deep learning engineer from Baidu, this article provides a detailed overview of the eight major tasks in the field of computer vision, including: image classification, object detection, image semantic segmentation, scene text recognition, image generation, human keypoint detection, video classification, … 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
This is a work by Big Data Digest, please refer to the end of the article for reproduction requirements. Original Author | Adam Geitgey Translation | Wu Shuang, Da Li, Da Jieqiong, Aileen To know oneself and one’s enemy, whether you want to become a hacker (which is not recommended!) or prevent future hacking intrusions, … Read more
Compiled by Li Lin, Produced by QbitAI | WeChat Official Account QbitAI From the various image recognition software we have seen, machines seem to recognize faces, cats, dogs, flowers, various cars, and other objects that appear in daily life. However, there is a prerequisite: you need to train the system with images of these categories. … Read more