install.packages('keras')
axis
.x
is a symbolic tensor.x
is a placeholder.variables
w.r.t. loss
.x
to zero at random, while scaling the entire tensor.x
in test phase, and alt
otherwise.indices
in the tensor reference
.x
is a Keras tensor.x
in train phase, and alt
otherwise.targets
are in the top k
predictions
.message
and the tensor value when evaluated.axis
.x
by n
.R
tensors into a rank R+1
tensor.x
by adding increment
.variables
but with zero gradient w.r.t. every other variable.R
tensor into a list of rank R-1
tensors.x
to new_x
.scale
and adds offset
x
by subtracting decrement
.y_true
and y_pred
y_true
and y_pred
y_true
and y_pred
y_true
and y_pred
y_true
and y_pred
K
predictionsK
predictionstf.data.Dataset
from text files in a directory