I'm newbie with Tensorflow and Keras, and I'm migrating the following code:
Convolution2D(64, 5, 5, activation='relu', border_mode='same', dim_ordering='tf', name='conv1_1')(inputs)
The interpreter suggest me this code:
Conv2D(64, (5, 5), activation="relu", name="conv1_1", padding="same", data_format="channels_last")
My question is:
Is dim_ordering='tf'
the same as data_format="channels_last"
?
Yes, dim_ordering='tf'
is equal to data_format="channels_last"
, which is also the default, so most of the times you might simply ignore this parameter.
This site seems to store old Keras documentation pages where you can confirm this: http://faroit.com/keras-docs/1.0.8/layers/convolutional/#convolution2d