Let's talk about image recognition: Recurrent Neural Network
This article is reproduced from the WeChat public account "Living in the Information Age". The author lives in the information age. To reprint this article, please contact the Living in the Information Age public account.
Recurrent Neural Network (RNN) is mainly used to solve sequence data problems. The reason why it is a recurrent neural network is that the current output of a sequence is also related to the previous output. The RNN network remembers information from previous moments and applies it to the current output calculation. Unlike the convolutional neural network, the neurons in the hidden layers of the recurrent neural network are connected to each other. The input of the neurons in the hidden layer is determined by the input The output of the layer is composed of the output of the hidden neurons at the previous moment. Although the RNN network has achieved some remarkable results, it has some shortcomings and limitations, such as: high training difficulty, low accuracy, low efficiency, long time, etc. Therefore, some improved network models based on RNN have been gradually developed, such as : Long Short-Term Memory (LSTM), bidirectional RNN, bidirectional LSTM, GRU, etc. These improved RNN models have shown outstanding results in the field of image recognition and are widely used. Taking the LSTM network as an example, we will introduce its main network structure.
Long Short-Term Memory (LSTM) solves the problems of gradient disappearance or gradient explosion in RNN and can learn long-term dependence problems. Its structure is as follows.
LSTM has three gates to allow information to selectively pass through: forgetting gate, input gate, and output gate. The forgetting gate determines what information can pass through this cell. It is implemented through a sigmoid neural layer. Its input is, and the output is a vector with a value between (0, 1), representing the proportion of each part of the information that is allowed to pass through. 0 means "let no information pass", 1 means "let all information pass".
The input gate determines how much new information is added to the cell state. A tanh layer generates a vector, which is the alternative to update content.
Update cell status:
The output gate is being determined Which part of the information is output:
The GRU network model also solves the problems of gradient disappearance or gradient explosion in RNN, and can learn long-term dependencies Relationship is a deformation of LSTM. The structure is simpler than LSTM, has fewer parameters, and the training time is shorter than LSTM. It is also widely used in speech recognition, image description, natural language processing and other scenarios.
The above is the detailed content of Let's talk about image recognition: Recurrent Neural Network. For more information, please follow other related articles on the PHP Chinese website!

AI Augmenting Food Preparation While still in nascent use, AI systems are being increasingly used in food preparation. AI-driven robots are used in kitchens to automate food preparation tasks, such as flipping burgers, making pizzas, or assembling sa

Introduction Understanding the namespaces, scopes, and behavior of variables in Python functions is crucial for writing efficiently and avoiding runtime errors or exceptions. In this article, we’ll delve into various asp

Introduction Imagine walking through an art gallery, surrounded by vivid paintings and sculptures. Now, what if you could ask each piece a question and get a meaningful answer? You might ask, “What story are you telling?

Continuing the product cadence, this month MediaTek has made a series of announcements, including the new Kompanio Ultra and Dimensity 9400 . These products fill in the more traditional parts of MediaTek’s business, which include chips for smartphone

#1 Google launched Agent2Agent The Story: It’s Monday morning. As an AI-powered recruiter you work smarter, not harder. You log into your company’s dashboard on your phone. It tells you three critical roles have been sourced, vetted, and scheduled fo

I would guess that you must be. We all seem to know that psychobabble consists of assorted chatter that mixes various psychological terminology and often ends up being either incomprehensible or completely nonsensical. All you need to do to spew fo

Only 9.5% of plastics manufactured in 2022 were made from recycled materials, according to a new study published this week. Meanwhile, plastic continues to pile up in landfills–and ecosystems–around the world. But help is on the way. A team of engin

My recent conversation with Andy MacMillan, CEO of leading enterprise analytics platform Alteryx, highlighted this critical yet underappreciated role in the AI revolution. As MacMillan explains, the gap between raw business data and AI-ready informat


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

Notepad++7.3.1
Easy-to-use and free code editor

Dreamweaver Mac version
Visual web development tools

SublimeText3 Linux new version
SublimeText3 Linux latest version