Implementing GANs Algorithm in Python

Implementing GANs Algorithm in Python

Case Introduction Generative Adversarial Networks (GANs) are a type of deep learning model consisting of a generator network and a discriminator network. They improve their capabilities through adversarial training, competing against each other. The generator network attempts to produce samples that resemble real data, while the discriminator network tries to distinguish between samples generated by … Read more

Optimizing Functions and Complete Loss Function Calculation of GANs

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

Using GANs for Data Augmentation

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

Understanding Generative Adversarial Networks (GANs)

Understanding Generative Adversarial Networks (GANs)

Original Title: An Intuitive Introduction to Generative Adversarial Networks Authors: Keshav Dhandhania, Arash Delijani Translation: Shen Libin Proofreading: He Zhonghua This article is about 4000 words and is recommended to be read in 10 minutes. The article introduces the GAN model through the problem of image generation, discusses the mathematical principles and training process of … Read more

What Are Diffusion Models and Their Advances in Image Generation?

What Are Diffusion Models and Their Advances in Image Generation?

Click on the above“Beginner’s Guide to Visuals”, choose to add a“Star” or “Pin” Important insights delivered immediately Perhaps the breakthrough in computer vision and machine learning over the past decade is the invention of GANs (Generative Adversarial Networks)—a method that introduces the possibility of generating content beyond what already exists in the data, serving as … Read more

DeepNude Application Shutdown and Image Restoration Technology

DeepNude Application Shutdown and Image Restoration Technology

Big Data Digest Production Source:Github Publisher:yuanxiaosc Last week, another AI niche application DeepNude surfaced, allowing users to “strip” women’s clothing with one click, going viral worldwide. The application is also very easy to use; just provide a photo, and it can automatically “strip” clothing using neural network technology. Although the underlying principle is complex, using … Read more