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Official implementation for Penalty Gradient Normalization for Generative Adversarial Networks
In this repository, we deal with the task of implementing Generative Adversarial Networks (GANs) using the CIFAR-10 dataset. Two popular GANs: DCGAN and SAGAN are implemented. The performance of the network is evaluated using the FID score.
Code Examples from Charniak's 2018 Book
Perform data augmentation on an image dataset using generative adversarial network
little lemon
机器学习中深度学习、强化学习、监督学习、集成学习相关的影印版pdf书籍
实变函数与泛函分析
Practice account for learning Git
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