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说明 2022-09-03 10:09:14
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8-1 图像生成文本问题引入⼊.mp4
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2022-09-03 10:09:14 |
59.64 MB |
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8-10 图像特征抽取(1)-文本描述文件解析.mp4
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2022-09-03 10:09:14 |
58.76 MB |
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8-11 图像特征抽取(2)-InceptionV3预训练模型抽取图像特征.mp4
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2022-09-03 10:09:14 |
82.29 MB |
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8-12 输入输出文件与默认参数定义.mp4
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2022-09-03 10:09:14 |
36.98 MB |
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8-13 词表载入.mp4
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2022-09-03 10:09:14 |
63.19 MB |
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8-14 文本描述转换为ID表示.mp4
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2022-09-03 10:09:14 |
36.17 MB |
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8-15 ImageCaptionData类封装-图片特征读取.mp4
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2022-09-03 10:09:14 |
77.62 MB |
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8-16 ImageCaptionData类封装-批数据生成.mp4
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2022-09-03 10:09:14 |
185.12 MB |
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8-17 计算图构建-辅助函数实现.mp4
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2022-09-03 10:09:14 |
39.1 MB |
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8-18 计算图构建-图片与词语embedding.mp4
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2022-09-03 10:09:14 |
86.05 MB |
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8-19 计算图构建-rnn结构实现、损失函数与训练算子实现.mp4
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2022-09-03 10:09:14 |
178.81 MB |
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8-2 图像生成文本评测指标.mp4
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2022-09-03 10:09:14 |
20.06 MB |
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8-20 训练流程代码.mp4
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2022-09-03 10:09:14 |
88.05 MB |
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8-21 文本生成图像问题引入与本节课总结.mp4
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2022-09-03 10:09:14 |
19.05 MB |
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8-3 Encoder-Decoder框架与Beam Search算法生成文本.mp4
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2022-09-03 10:09:14 |
15.12 MB |
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8-4 Multi-Modal RNN模型.mp4
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2022-09-03 10:09:14 |
24.2 MB |
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8-5 Show and Tell模型.mp4
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2022-09-03 10:09:14 |
8.27 MB |
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8-6 Show attend and Tell 模型.mp4
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2022-09-03 10:09:14 |
52.74 MB |
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8-7 Bottom-up Top-down Attention模型.mp4
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2022-09-03 10:09:14 |
16.88 MB |
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8-8 图像生成文本模型对比与总结.mp4
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2022-09-03 10:09:14 |
11.11 MB |
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8-9 数据介绍,词表生成.mp4
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2022-09-03 10:09:14 |
92.56 MB |
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