Illustrated Overview of 10 Major CNN Architectures

Illustrated Overview of 10 Major CNN Architectures

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

10 Major CNN Architectures Explained Clearly

10 Major CNN Architectures Explained Clearly

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

Detailed Explanation of Lightweight CNN Network MobileNet Series

Detailed Explanation of Lightweight CNN Network MobileNet Series

100 Questions on Deep Learning Author: louwill Machine Learning Lab The MobileNet series, as a representative of lightweight networks, makes the lightweight deployment of CNNs on mobile devices possible. Currently, there are three versions of MobileNet: MobileNet v1, MobileNet v2, and MobileNet v3. This article focuses on elaborating the MobileNet series networks, which is essential … Read more

A Comprehensive Overview of 11 Ingenious CNN Plugins

A Comprehensive Overview of 11 Ingenious CNN Plugins

01 Introduction This article reviews some of the more ingeniously designed and practical “plugins” used in CNN networks. The so-called “plugins” are modules that do not alter the main structure of the network and can be easily integrated into mainstream networks to enhance their feature extraction capabilities, achieving a plug-and-play functionality. Many similar reviews claim … Read more

Discussing RNN Gradient Vanishing/Explosion Issues

Discussing RNN Gradient Vanishing/Explosion Issues

More Reading #Submission Guidelines# Get Your Paper Seen by More People How can we ensure that more quality content reaches readers quickly and reduces their search costs for high-quality content? The answer is: people you don’t know. There are always some people you don’t know who know what you want to know. PaperWeekly may serve … Read more

Understanding RNN: A Beginner’s Guide to Machine Learning

Understanding RNN: A Beginner's Guide to Machine Learning

By Jiao Fa from Aofeisi Quantum Bit Report | WeChat Official Account QbitAI This tutorial is written for beginners in machine learning and will introduce what a Recurrent Neural Network (RNN) is. Recurrent Neural Networks are specifically designed to handle sequences. Due to their effectiveness in processing text, they are often used in Natural Language … Read more

Introduction to Deep Learning Models: CNN and RNN

Introduction to Deep Learning Models: CNN and RNN

Author: Huang Yu, Autonomous Driving Scientist Editor: Hoh Xil Source: Huang Yu@Zhihu Produced by: DataFunTalk Note: There is a latest autonomous driving salon at the end of the article, welcome to sign up. Introduction: Deep learning has been “hot” for more than ten years since 2006, and the most common applications we see are in … Read more

Understanding RNN: Recurrent Neural Networks and Their Implementation in PyTorch

Understanding RNN: Recurrent Neural Networks and Their Implementation in PyTorch

Click the “MLNLP” above to select the “Star” public account Heavyweight content delivered first-hand From | Zhihu Author | Lucas Address | https://zhuanlan.zhihu.com/p/85995376 Column | Deep Learning and Sentiment Analysis Editor | Machine Learning Algorithms and Natural Language Processing Understanding RNN: Recurrent Neural Networks and Their Implementation in PyTorch Recurrent Neural Networks (RNN) are a … Read more

Introduction to Recurrent Neural Networks (RNN): Vector to Sequence, Sequence to Sequence, Bidirectional RNN, Markovization

Introduction to Recurrent Neural Networks (RNN): Vector to Sequence, Sequence to Sequence, Bidirectional RNN, Markovization

Author: David 9 Address: http://nooverfit.com/ RNN seems to be better at information preservation and updating, while CNN seems to excel at precise feature extraction; RNN has flexible input and output dimensions, while CNN dimensions are relatively rigid. 1Question When talking about Recurrent Neural Networks, our first reaction might be: time sequence. Indeed, RNNs are good … Read more

Combining CNNs and RNNs: Genius or Madness?

Combining CNNs and RNNs: Genius or Madness?

Author | Bill Vorhies Translator | Gai Lei Editor | Vincent AI Frontline Overview: From some interesting use cases, it seems we can completely combine CNN and RNN/LSTM. Many researchers are currently working on this research. However, the latest research trends in CNN may render this idea outdated. For more quality content, please follow the … Read more