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Generative-Adversarial-Networks-Projects-master.zip
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上传时间: 2020-04-02
详细说明：实现生成对抗网络（Generative-Adversarial-Networks，GAN）的工程实现。
Generative Adversarial Networks (GANs) have the potential to build next-generation models, as they can mimic any distribution of data. Major research and development work is being undertaken in this field since it is one of the rapidly growing areas of machine learning. This book will test unsupervised techniques for training neural networks as you build seven end-to-end projects in the GAN domain.
This book covers the following exciting features:
* Train a network on the 3D ShapeNet dataset to generate realistic shapes
* Generate anime characters using the Keras implementation of DCGAN
* Implement an SRGAN network to generate high-resolution images
* Train Age-cGAN on Wiki-Cropped images to improve face verification
* Use conditional GANs for image-to-image translation
(系统自动生成,下载前可以参看下载内容)
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