Creates an InceptionTime arch from `ni` channels to `nout` outputs.
create_inception(
ni,
nout,
kss = c(39, 19, 9),
depth = 6,
bottleneck_size = 32,
nb_filters = 32,
head = TRUE
)
number of input channels
number of outputs, should be equal to the number of classes for classification tasks.
kernel sizes for the inception Block.
depth
The number of channels on the convolution bottleneck.
Channels on the convolution of each kernel.
TRUE if we want a head attached.
model