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Python keras如何将卷积层后的输入大小改成lstm层

更新时间:2023-12-03 11:13:46

您可以在中间添加 Reshape() 层以使尺寸兼容.

You can add Reshape() layer in between to make dimensions compatible.

http://keras.io/layers/core/#reshape

keras.layers.core.Reshape(dims)

将输出重塑为特定形状.

Reshape an output to a certain shape.

输入形状

任意,尽管输入形状中的所有尺寸都必须固定.将此层用作模型中的第一层时,请使用关键字参数 input_shape(整数元组,不包括样本轴).

Arbitrary, although all dimensions in the input shaped must be fixed. Use the keyword argument input_shape (tuple of integers, does not include the samples axis) when using this layer as the first layer in a model.

输出形状

(batch_size,) + dims

参数

dims:目标形状.整数元组,不包括样本维度(batch size).

dims: target shape. Tuple of integers, does not include the samples dimension (batch size).