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Deep Learning
Deep Learning Pulse
Five questions across 7 topics. No timer.
1 / 5
Deep Learning
Question 1 of 5
foundation (1/10)
conceptual
A typical neural network layer computes
y
=
f
(
W
x
+
b
)
. What does each symbol represent?
Hide and think first
A.
W
= network;
b
= broadcast;
f
= filter;
x
= exponent;
y
= yield
B.
W
= weight matrix;
b
= bias vector;
f
= activation function;
x
= input;
y
= output
C.
W
= weight (scalar);
b
= batch size;
f
= function name;
x
= iteration;
y
= year
D.
W
= workload;
b
= budget;
f
= folds;
x
= x-axis;
y
= y-axis
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