zh-CN: tutorials/generative/dcgan.ipynb #1072
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Preview and run these notebook edits with Google Colab: Notebook diffs available on ReviewNB.com. |
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| " model.add(layers.LeakyReLU())\n", | ||
| "\n", | ||
| " model.add(layers.Reshape((7, 7, 256)))\n", | ||
| " assert model.output_shape == (None, 7, 7, 256) # Note: None is the batch size\n", |
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| " assert model.output_shape == (None, 7, 7, 256) # Note: None is the batch size\n", | |
| " assert model.output_shape == (None, 7, 7, 256) # 注意: batch size 没有限制\n", |
| "\n", | ||
| "[生成对抗网络](https://arxiv.org/abs/1406.2661)（GANs）是当今计算机科学领域最有趣的想法之一。两个模型通过对抗过程同时训练。一个*生成器*（“艺术家”）学习创造看起来真实的图像，而*判别器*（“艺术评论家”）学习区分真假图像。\n", | ||
| "\n", | ||
| "\n", |
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Excuse me, does the path here need us to modify it? @lamberta
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Relative path should stay the same.
On tensorflow.org, it will first check if the file exists in the language directory, then will fall back to English.
Though it does mean some broken image links when previewing notebooks on GitHub, unfortunately.
| "outputs": [], | ||
| "source": [ | ||
| "train_images = train_images.reshape(train_images.shape[0], 28, 28, 1).astype('float32')\n", | ||
| "train_images = (train_images - 127.5) / 127.5 # Normalize the images to [-1, 1]" |
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| "train_images = (train_images - 127.5) / 127.5 # Normalize the images to [-1, 1]" | |
| "train_images = (train_images - 127.5) / 127.5 # 将图像规格化为 [-1, 1]" |
| "source": [ | ||
| "## 创建模型\n", | ||
| "\n", | ||
| "生成器和判别器均使用 [Keras Sequential API](https://www.tensorflow.org/guide/keras#sequential_model) 定义。" |
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| "生成器和判别器均使用 [Keras Sequential API](https://www.tensorflow.org/guide/keras#sequential_model) 定义。" | |
| "生成器和判别器均使用 [Keras Sequential API](https://tensorflow.google.cn/guide/keras#sequential_model) 定义。" |
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Thanks，I have made changes， please check again
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| }, | ||
| "source": [ | ||
| "# 用于生成 GIF 图片\n", | ||
| "!pip install -q imageio" |
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| "!pip install -q imageio" | |
| "!pip install imageio" |
Remove -q from pip install
| "\n", | ||
| "[生成对抗网络](https://arxiv.org/abs/1406.2661)（GANs）是当今计算机科学领域最有趣的想法之一。两个模型通过对抗过程同时训练。一个*生成器*（“艺术家”）学习创造看起来真实的图像，而*判别器*（“艺术评论家”）学习区分真假图像。\n", | ||
| "\n", | ||
| "\n", |
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Please don't link to your personal github repo.
Perhaps link to the en/ version: https://github.com/tensorflow/docs/blob/master/site/en/tutorials/generative/images/gan1.png
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I have made changes，please check @lamberta |
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