Comments (1)
感谢建议,可以使用tf.data.Dataset.from_tensor_slices( ).batch( )
from dive-into-dl-tensorflow2.0.
Related Issues (20)
- 6.4 和 6.5 小结中,损失函数缺少一个参数,导致训练结果不正确 HOT 3
- 7.3.3有一处笔误
- 5.12 稠密连接网络 DenseNet 模型
- 9.1图像增广-使用图像增广训练模型
- 网页版项目地址无法访问 HOT 1
- 4.3文章消失
- 2.3.2 训练模式和预测模式 有 关键性错误
- The funtion of colormap2label may not be effective , the converted label does not correspond. HOT 4
- d2lzh_tensorflow2缺失,项目文件亦没有code目录 HOT 1
- “机器翻译”章节缺失
- ch6.8代码不符,lstm中最后一个简单版本实现的最后一个函数train_and_predict_rnn_keras并没有device的参数 HOT 2
- 无法访问4.3 模型参数的延后初始化 HOT 1
- 4.5.1 load and save NDarray没有save的代码,只有load的代码
- 网页无法访问了
- 5-8 NiN和5-9 GoogLeNet的源代码acc极低,前者在0.1左右徘徊,后者在0.2左右徘徊,请问是什么原因?
- 大佬,9.1的../img/cat1.jpg没有这个文件。是不是没有上传img这个文件夹啊?
- I think your code should be changed when indexing array
- 9.7章节缺失
- 网页版 3.16.5 和 3.16.6 代码混乱
- 网页版 5.2 开头代码错误 HOT 1
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from dive-into-dl-tensorflow2.0.