Debug 路漫漫

在使用 CNN的时候，报错： TypeError: ('Keyword argument not understood:', 'padding')

将“padding”改为“border_mode”，即可：

原因：padding 是Keras 2.X的语法，而我的PC安装的是 Keras 1.X版本。

二者的API 有一些地方是有变化的。

如下：（从 1.X 到 2.X ）

 ========【Models】

1、Constructor arguments for Model have been renamed：

• input -> inputs
• output -> outputs

2、The Sequential model not longer supports the set_input method.

3、For any model saved with Keras 2.0 or higher, weights trained with backend X will be converted to work with backend Y without any manual conversion step.

========【Layers】

 1、Dense layer

• Changed interface：
• output_dim -> units
• init -> kernel_initializer
• added bias_initializer argument
• W_regularizer -> kernel_regularizer
• b_regularizer -> bias_regularizer
• b_constraint -> bias_constraint
• bias -> use_bias

2、Embedding

Convolutional layers ：

Interface changes common to all convolutional layers：

• nb_filter -> filters
• float kernel dimension arguments become a single tuple argument, kernel size. E.g. a legacy call Conv2D(10, 3, 3) becomes Conv2D(10, (3, 3))
• kernel_size can be set to an integer instead of a tuple, e.g. Conv2D(10, 3) is equivalent toConv2D(10, (3, 3)).
• subsample -> strides. Can also be set to an integer.
• border_mode -> padding
• init -> kernel_initializer
• added bias_initializer argument
• W_regularizer -> kernel_regularizer
• b_regularizer -> bias_regularizer
• b_constraint -> bias_constraint
• bias -> use_bias
• dim_ordering -> data_format
• In the SeparableConv2D layers, init is split into depthwise_initializer andpointwise_initializer.
• Added dilation_rate argument in Conv2D and Conv1D.
• 1D convolution kernels are now saved as a 3D tensor (instead of 4D as before).
• 2D and 3D convolution kernels are now saved in format spatial_dims + (input_depth, depth)), even with data_format="channels_first".

3、Pooling1D

• pool_length -> pool_size
• stride -> strides
• border_mode -> padding

4、Pooling2D，3D

• border_mode -> padding
• dim_ordering -> data_format

【Reference】

1、Keras 2.x和1.x的区别 ：https://blog.csdn.net/ch1209498273/article/details/78287145

2、Keras 官方发布的 ：Keras 2.0 release notes ：https://github.com/keras-team/keras/wiki/Keras-2.0-release-notes