2024年8月24日 · Generative adversarial networks (GAN) are a class of generative machine learning frameworks. A GAN consists of two competing neural networks, often termed the Discriminator network and the Generator network. GANs have been shown to be powerful generative models and are able to successfully generate new data given a …

The key idea of Softmax GAN is to replace the classification loss in the original GAN with a softmax cross-entropy loss in the sample space of one single batch. In the adversarial learning of N real training samples and M generated samples, the target of discriminator training is to distribute all the probability mass to the real samples, each ...

TF-GAN is composed of several parts, which are designed to exist independently: Core : the main infrastructure needed to train a GAN. Set up training with any combination of TF-GAN library calls, custom-code, native TF code, and other frameworks

Build a more sophisticated GAN using convolutional layers. Learn about useful activation functions, batch normalization, and transposed convolutions to tune your GAN architecture and apply them to build an advanced DCGAN specifically for processing images. Assignment: Deep Convolutional GAN (DCGAN)

gan最经常看到的例子就是斑马和马的互相转换了，相信你即使不知道gan是什么，也曾见过这个例子。 GAN简介 GAN的想法非常巧妙，它会创建两个不同的对立的网络，目的是让一个网络生成与训练集不同的且足以让另外一个网络难辨真假的样本。

Simple Implementation of many GAN models with PyTorch. Topics pytorch gan mnist infogan dcgan regularization celeba wgan began wgan-gp infogan-pytorch conditional-gan pytorch-gan gan-implementations vanilla-gan gan-pytorch gan …

2024年5月18日 · Generative adversarial networks (GAN) are a class of generative machine learning frameworks. A GAN consists of two competing neural networks, often termed the Discriminator network and the Generator network. GANs have been shown to be powerful generative models and are able to successfully generate new data given a …

Idea: Use generative adversarial networks (GANs) to generate real-valued time series, for medical purposes. As the title suggests. The GAN is RGAN because it uses recurrent neural networks for both encoder and decoder (specifically LSTMs).

2021年4月11日 · Pretrained GANs in PyTorch: StyleGAN2, BigGAN, BigBiGAN, SAGAN, SNGAN, SelfCondGAN, and more - lukemelas/pytorch-pretrained-gans

GAN. OCR. NeRF. DETR. Prompt. 多模态大语言模型(MLLM) LSceneLLM: Enhancing Large 3D Scene ...