Top 10 Must-Read Papers on Generative Adversarial Networks (GANs)

Top 10 Must-Read Papers on Generative Adversarial Networks (GANs)

Source: Xinzhi Yuan This article is approximately 2200 words, and it is recommended to read it in 7 minutes. The selected papers in this article provide an easy-to-read introduction to GANs, helping you understand the fundamentals of GAN technology. [ Introduction ]Generative Adversarial Networks (GANs) are one of the most interesting and popular applications in … Read more

Understanding RF Power Amplifiers

Understanding RF Power Amplifiers

Basic Concepts of RF Power Amplifiers RF power amplifiers (RF PA) are a crucial part of the transmission system, and their importance is self-evident. In the front-end circuit of the transmitter, the RF signal power generated by the modulation oscillator is very small and needs to be amplified through a series of stages (buffer stage, … Read more

25 Essential Deep Learning Interview Questions

Click the "Xiaobai Learns Vision" above, select to add "Star" or "Top" Heavyweight content delivered first time Author | Tomer AmitTranslator | Wan Yue, Editor | Tu MinProduced by | CSDN (ID: CSDNnews) The following is the translation: In this article, I will share 25 questions about deep learning, hoping to help you prepare for … Read more

Research on Face Image Forgery and Anti-Forgery Technology

Research on Face Image Forgery and Anti-Forgery Technology

Introduction On August 30, 2019, an AI face-swapping app developed by Beijing Momo Technology Co., Ltd. was launched in major mobile app markets. According to reports, users only need to upload a frontal photo of themselves, and the software can use AI technology to swap the face of a celebrity in a video, generating a … Read more

Implementing Spectral Normalization GAN with PyTorch

Implementing Spectral Normalization GAN with PyTorch

Source: DeepHub IMBA This article is about 3800 words, and it is recommended to read in 5 minutes. Since the release of diffusion models, the attention and papers on GANs have decreased significantly, but some ideas within them are still worth understanding and learning. Therefore, in this article, we will implement SN-GAN using PyTorch. Spectral … Read more

In-Depth Analysis of CMOS, FinFET, SOI, and GaN Process Technologies

In-Depth Analysis of CMOS, FinFET, SOI, and GaN Process Technologies

The invention of the vacuum tube was a significant driving force in the development of the electronics industry. However, after World War II, the need for a large number of discrete components significantly increased the complexity and power consumption of devices, while their performance continuously declined. One example is the Boeing B-29, which consisted of … Read more

Using Generative Adversarial Networks to Generate and Augment Single-Cell RNA-seq Data

Using Generative Adversarial Networks to Generate and Augment Single-Cell RNA-seq Data

Nature Communications 2020 Jan 9 IF: 17.694 Introduction: GAN includes a generator that outputs realistic silicon-generated samples. This is achieved through a neural network that learns to transform a simple low-dimensional distribution into a high-dimensional distribution, which is indistinguishable from the actual training distribution. In this paper, the authors establish a single-cell GAN (scGAN) to … Read more

Is Diffusion Really Stronger Than GAN?

Is Diffusion Really Stronger Than GAN?

AI painting is one branch of AIGC, which has been in the spotlight and controversy, and was even dubbed the “AIGC Year” in 2022. With the popularity of AI painting, one of the core technologies behind it, the Diffusion Model, has also gained immense popularity in the field of image generation, and it seems to … Read more

From AlexNet to BERT: A Simple Review of Key Ideas in Deep Learning

From AlexNet to BERT: A Simple Review of Key Ideas in Deep Learning

Follow the WeChat public account “ML_NLP“ Set as “Starred“, heavy content delivered at the first time! Source | Big Data Digest Translation | Ao🌰viYa, Meat Bun, Andy This article by Denny Britz summarizes the important ideas in deep learning over time, recommended for newcomers, listing almost all the key ideas since 2012 that have supported … Read more

Predictions for Technology in 20 Years: Deepfake and AI Vulnerabilities

Predictions for Technology in 20 Years: Deepfake and AI Vulnerabilities

Recently, Dr. Kai-Fu Lee, the chairman and CEO of Innovation Works, in collaboration with science fiction writer Chen Qiufan, published a new book “The Future of AI in Progress”, creatively merging technology with science fiction to envision the human world 20 years from now under the influence of technologies such as artificial intelligence. As a … Read more