Author: Pulkit Sharma Translator: Chen Zhiyan Proofreader: Ding Nanya This article contains about 3900 words, and is recommended to read for 10+ minutes. This article analyzes and compares the advantages and applications of five very useful deep learning frameworks. Overview Since I started my career, I have always been a programmer. I enjoy coding from … Read more
Click on the above “Beginner’s Visual Learning” to choose to add “star” or “top” Important content delivered promptly For students learning data science, implementing a neural network from scratch can help you understand many interesting concepts. However, I do not think it is wise to build deep learning models on real datasets unless you have … Read more
Importance of Neural Networks in Mathematical Competitions In mathematical competitions, neural networks have gradually become a powerful assistant for participants due to their strong data processing and pattern recognition capabilities. Especially when dealing with complex, nonlinear, high-dimensional data, neural networks perform exceptionally well. They not only help us solve basic problems such as classification and … Read more
Follow the public account “ML_NLP“ Set as “Starred“, important content delivered first! Source | Zhihu Address | https://zhuanlan.zhihu.com/p/112235454 Author | TotoroWang Editor | Machine Learning Algorithms and Natural Language Processing Public Account This article has been authorized by the author and is prohibited from secondary reproduction Introduction Since I have been working on BERT models … Read more
Recently, I have received many letters from readers, most of whom are just starting to explore the fields of knowledge graphs and natural language processing, and the unfamiliarity brings some insecurity, leaving them feeling a bit lost. Therefore, taking this opportunity, this article discusses the topic of “How to Get Started with Knowledge Graphs and … Read more
Click on the above“Beginner Learning Vision” to select Star or “Pin” Important content delivered immediately This issue we will introduce how to use OpenCV and TensorFlow to implement squat detection. During the quarantine period, our physical activities are very limited, which is not good. When doing some home exercises, we must always maintain a high … Read more
Click on the above“Beginner Learning Vision” to add it to your favorites or “pin” Important content delivered to you first Author丨Yukyin@Zhihu Source丨https://zhuanlan.zhihu.com/p/279401802 This article is for academic sharing only. If there is any infringement, please contact us to delete the article. Introduction This article introduces the detailed process and code for setting up a deep … Read more
Author: Adrian Rosebrock Translator: Zhang Yiran Proofreader: wwl This article is about3700 words, recommended reading time8 minutes. In this article, you will learn how to use siamese networks and the deep learning libraries Keras / TensorFlow to compare the similarity of two images (and whether they belong to the same or different classes). This blog … Read more
Click on the above “3D Vision Workshop“, select “Star” Delivering valuable content promptly Author | Pan Duoduo Source | Deep Learning and Computer Vision Introduction to 3D-CNN The MNIST dataset classification is considered the hello world program in the field of computer vision. The MNIST dataset helps beginners understand the concept and implementation of Convolutional … Read more
Author | Jeff Hale Translator | Jackey Editor | Jane Produced by | AI Technology Camp (id: rgznai100) 【Introduction】 After the release of TensorFlow 2.0 and PyTorch 1.0, the discussion about which of the two is superior has been ongoing and still lacks a definitive conclusion. In this article, the author analyzes data from multiple … Read more