坤哥带你学AI之----深度卷积生成对抗网络--DCGAN

最新推荐文章于 2024-06-09 11:18:35 发布

Adam婷

最新推荐文章于 2024-06-09 11:18:35 发布

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分类专栏： AI程序员算法神经网络机器学习深度学习

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本文介绍了GANs的基本概念，并通过一个使用Keras实现的深度卷积生成对抗网络(DCGAN)示例，展示了如何在MNIST数据集上训练GAN。在训练过程中，生成器逐渐学会创建逼真的手写数字图像，而判别器则学会了区分真实与伪造图像。随着训练的进行，生成的图像越来越接近真实的MNIST数字。同时，文章还涉及了模型的保存、恢复、训练循环和生成动图的制作。

What are GANs?

Generative Adversarial Networks (GANs) are one of the most interesting ideas in computer science today. Two models are trained simultaneously by an adversarial process. A generator (“the artist”) learns to create images that look real, while a discriminator (“the art critic”) learns to tell real images apart from fakes.

What are GANs?

Generative Adversarial Networks (GANs) are one of the most interesting ideas in computer science today. Two models are trained simultaneously by an adversarial process. A generator (“the artist”) learns to create images that look real, while a discriminator (“the art critic”) learn

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