Joint Optimization Algorithm for Pilot Configuration and Channel Estimation Based on GAN

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Joint Optimization Algorithm for Pilot Configuration and Channel Estimation Based on GAN

0 Introduction Channel estimation is a fundamental issue in wireless communication systems, and its accuracy has a significant impact on applications such as signal recovery, interference management, and wireless resource allocation. Based on whether pilot signals are sent, channel estimation methods can be divided into three categories: blind channel estimation, pilot-based channel estimation, and semi-blind … Read more

GAN Implementation in iQIYI Short Video Recommendation Cold Start

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GAN Implementation in iQIYI Short Video Recommendation Cold Start

Introduction: Due to the cold start problem in recommendation systems, recommending new videos to users in video recommendations is a highly challenging issue. The effectiveness of new video recommendations directly affects the stability of the recommendation system’s “metabolism” and the healthy development of the content ecosystem. To address this issue, this article mainly introduces the … Read more

Optimizing Functions and Complete Loss Function Calculation of GANs

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Optimizing Functions and Complete Loss Function Calculation of GANs

Click the "Xiaobai Learns Vision" above, select "Add to Favorites" or "Pin" Heavyweight content delivered first time Introduction This article explains in detail how the minimax game and total loss function in GAN optimization functions are derived. It will introduce the meaning and reasoning of the optimization function in the original GAN, as well as … Read more

Complete Theory Derivation, Proof, and Implementation of GAN

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Complete Theory Derivation, Proof, and Implementation of GAN

Source: Machine Heart Author: Jiang Siyuan The length of this article is 8300 words, recommended reading time is 8 minutes This article will start from the original paper, using Goodfellow’s speech at NIPS 2016 and Li Hongyi’s explanation from National Taiwan University, to complete the derivation, proof, and implementation of the original GAN. This article … Read more

Generative Adversarial Networks: Intuitive Principles and Simple Applications

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Generative Adversarial Networks: Intuitive Principles and Simple Applications

On September 17, Professor Fan Lei from Capital Normal University shared a presentation titled “Generative Adversarial Networks – Intuitive Principles and Simple Applications” at the Yuanzhuo Academy. He introduced the basic concepts of Generative Adversarial Networks (GANs) and constructed a simple GAN model to help everyone understand the memory of familiar problems. Professor Fan introduced … Read more

Using GANs for Data Augmentation

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Using GANs for Data Augmentation

Follow the WeChat public account “ML_NLP“ Set as “Starred“, to receive heavy content promptly! Reprinted from: AI Park Author: Sam Nolen Translation: ronghuaiyang Introduction Applicable in cases with very few samples. Even imperfect synthetic data can improve classifier performance. Generative Adversarial Networks (GANs) were introduced by Ian Goodfellow in 2014 and have become a very … Read more

Comprehensive Guide to Learning Resources for GANs

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Comprehensive Guide to Learning Resources for GANs

Source: New Intelligence This article contains approximately 2600 words, and is recommended for a 10 minute read. This article compiles everything you need to know about GANs. [ Guide ]Want to learn everything about GANs?Someone has already organized it for you!From paper resources to application examples, to books, tutorials, and beginner guides, whether you are … Read more

Research Progress and Prospects of Generative Adversarial Networks

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Research Progress and Prospects of Generative Adversarial Networks

Click above to subscribe to “China Computer Federation” easily! Source: “China Computer Federation Communication”, 2017, Issue 11, “Column” GAN: Generative Adversarial Networks Generative Adversarial Networks (GANs) are a concept proposed by Ian Goodfellow in 2014 that uses adversarial methods to generate data. Imagine we have two images, one real and one fake. How can humans … Read more

How GAN Controls Image Generation Style? Detailed StyleGAN Evolution

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How GAN Controls Image Generation Style? Detailed StyleGAN Evolution

Click on the above “Visual Learning for Beginners”, select to add “Starred” or “Top” Important information delivered at the first time Source: WeChat Official Account Machine Heart Authorized Can GAN systematically control the style of the generated images? Do you understand your style? Most GAN models do not understand. So, can GAN systematically control the … Read more

Understanding Text-to-Image Models in AI Art

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Understanding Text-to-Image Models in AI Art

Introduction AI art generation has started to enter the public eye. In the past year, a large number of text-to-image models have emerged, especially with the advent of Stable Diffusion and Midjourney, sparking a wave of AI art creation. Many artists have also begun to experiment with AI to assist in their artistic endeavors. This … Read more