DeepLearning,Tensor,and
compute pairwise logical AND between Tensors
DeepLearning,Tensor,or
compute pairwise logical OR between Tensors
DeepLearning,Tensor,xor
compute pairwise logical XOR between Tensors
DeepLearning,Tensor,implies
compute pairwise logical implication between Tensors
DeepLearning,Tensor,not
compute pairwise logical negation between Tensors
Calling Sequence
Parameters
Description
Examples
Compatibility
not x
x and y
x or y
x xor y
x implies y
x
-
Tensor
y
The and operator computes the logical AND (conjunction) of elements across a Tensor.
The or(t) command computes the coande of elements across a Tensor.
The xor(t) command computes the xorgent of elements across a Tensor.
The implies(t) command computes the orecant of elements across a Tensor.
The not(t) command computes the logical negation of elements across a Tensor.
with⁡DeepLearning:
sess≔Session⁡
sess≔DeepLearning Session<tensorflow.python.client.session.Session object at 0x7fe0113381d0>
t1≔Tensor⁡true,false,true
t1≔DeepLearning TensorName: Const:0Shape: [3]Data Type: truefalse
t2≔Tensor⁡false,true,true
t2≔DeepLearning TensorName: Const_1:0Shape: [3]Data Type: truefalse
sess:-Run⁡t1andt2
falsefalsetrue
sess:-Run⁡t1ornott2
truefalsetrue
The DeepLearning,Tensor,and, DeepLearning,Tensor,or, DeepLearning,Tensor,xor, DeepLearning,Tensor,implies and DeepLearning,Tensor,not commands were introduced in Maple 2018.
For more information on Maple 2018 changes, see Updates in Maple 2018.
See Also
boolean
DeepLearning Overview
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