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Oct 21, 2019
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Update core.py #13472

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32 changes: 16 additions & 16 deletions keras/layers/core.py
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Original file line number Diff line number Diff line change
Expand Up @@ -188,19 +188,19 @@ class SpatialDropout2D(Dropout):

# Arguments
rate: float between 0 and 1. Fraction of the input units to drop.
data_format: 'channels_first' or 'channels_last'.
In 'channels_first' mode, the channels dimension
data_format: `'channels_first'` or `'channels_last'`.
In `'channels_first'` mode, the channels dimension
(the depth) is at index 1,
in 'channels_last' mode is it at index 3.
in `'channels_last'` mode is it at index 3.
It defaults to the `image_data_format` value found in your
Keras config file at `~/.keras/keras.json`.
If you never set it, then it will be "channels_last".
If you never set it, then it will be `'channels_last'`.

# Input shape
4D tensor with shape:
`(samples, channels, rows, cols)` if data_format='channels_first'
`(samples, channels, rows, cols)` if `data_format='channels_first'`
or 4D tensor with shape:
`(samples, rows, cols, channels)` if data_format='channels_last'.
`(samples, rows, cols, channels)` if `data_format='channels_last'`.

# Output shape
Same as input
Expand Down Expand Up @@ -238,18 +238,18 @@ class SpatialDropout3D(Dropout):

# Arguments
rate: float between 0 and 1. Fraction of the input units to drop.
data_format: 'channels_first' or 'channels_last'.
In 'channels_first' mode, the channels dimension (the depth)
is at index 1, in 'channels_last' mode is it at index 4.
data_format: `'channels_first'` or `'channels_last'`.
In `'channels_first'` mode, the channels dimension (the depth)
is at index 1, in `'channels_last'` mode is it at index 4.
It defaults to the `image_data_format` value found in your
Keras config file at `~/.keras/keras.json`.
If you never set it, then it will be "channels_last".
If you never set it, then it will be `'channels_last'`.

# Input shape
5D tensor with shape:
`(samples, channels, dim1, dim2, dim3)` if data_format='channels_first'
`(samples, channels, dim1, dim2, dim3)` if `data_format='channels_first'`
or 5D tensor with shape:
`(samples, dim1, dim2, dim3, channels)` if data_format='channels_last'.
`(samples, dim1, dim2, dim3, channels)` if `data_format='channels_last'`.

# Output shape
Same as input
Expand Down Expand Up @@ -464,17 +464,17 @@ class Flatten(Layer):

# Arguments
data_format: A string,
one of `channels_last` (default) or `channels_first`.
one of `'channels_last'` (default) or `'channels_first'`.
The ordering of the dimensions in the inputs.
The purpose of this argument is to preserve weight
ordering when switching a model from one data format
to another.
`channels_last` corresponds to inputs with shape
`(batch, ..., channels)` while `channels_first` corresponds to
`'channels_last'` corresponds to inputs with shape
`(batch, ..., channels)` while `'channels_first'` corresponds to
inputs with shape `(batch, channels, ...)`.
It defaults to the `image_data_format` value found in your
Keras config file at `~/.keras/keras.json`.
If you never set it, then it will be "channels_last".
If you never set it, then it will be `'channels_last'`.

# Example

Expand Down