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将使用对抗生成神经网络(GAN)生成新的人脸图像。

Python 0.89% Jupyter Notebook 99.11%

dlnd_face_generation's Introduction

dlnd_face_generation

在该项目中,将使用生成式对抗网络(Generative Adversarial Nets)来生成新的人脸图像。 获取数据 该项目将使用以下数据集: MNIST、CelebA。 由于 CelebA 数据集比较复杂,而且第一次使用 GANs。先在 MNIST 数据集上测试自己的 GANs 模型,以让你更快的评估所建立模型的性能。

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