This page contains the reliably extracted subset, not the complete original paper.
Questions and published explanations below are available without starting a test. Some questions may not have a published solution yet.
0 / 16 published solutions
Question 157 SHORT_TEXT · 1.0 marks
List the horizon nodes assigned SOLVED status by the SSS* algorithm.
Enter the node labels as a comma separated list in ASCENDING order.
NO SPACES, TABS, DOTS, BRACKETS OR EXTRANEOUS CHARACTERS.
Answer format: X,Y,Z
A published solution is not available for this question yet.
Based on the above data, answer the given subquestions.
Suppose we replace the sigmoid (logistic) activation function by ReLU and max pooling by min
pooling (that is, output the minimum value from the input tensor). Update the parameters and
enter the sum of updated parameter values?. The ReLU is defined as follows
(If your answer is 0.3345, enter it as 0.33)
A published solution is not available for this question yet.
Based on the above data, answer the given subquestions.
The dimension of C1 = 101 × 101 × 100. Suppose we use 30 kernels (filters) of shape 3 × 3, with
stride 1 and no zero padding, to generate the convolution layer 2. Then, enter the number of
parameters (including bias) in the convolution layer-2 (If your answer is 1050,enter 1050)
A published solution is not available for this question yet.
Based on the above data, answer the given subquestions.
The statement “Using sigmoid activation function for a neuron in a neural network always shrinks
the gradient passing through it during backpropagation ” is
6406531487451.
TRUE
6406531487452.
FALSE
A published solution is not available for this question yet.
The diagram below shows the contours of a loss surface generated by the following model,
where, m is the number of training samples, x1 and x2 are features and y is the corresponding
ground truth. Assume that both features x1 and x2 are normalized to be in the same range.
Which of the following statement(s) is (are) true?
6406531487429.
x1 is sparse, x2 is dense
6406531487430.
x1 is dense, x2 is sparse
6406531487431.
both x1 and x2 are sparse
6406531487432.
both x1 and x2 are dense
A published solution is not available for this question yet.
**SPG**
**Section Id :** 64065329028
**Section Number :** 9
**Section type :** Online
**Mandatory or Optional :** Mandatory
**Number of Questions :** 36
**Number of Questions to be attempted :** 36
**Section Marks :** 50
**Display Number Panel :** Yes
**Group All Questions :** No
**Enable Mark as Answered Mark for Review and**
Yes
**Clear Response :**
**Maximum Instruction Time :** 0
A published solution is not available for this question yet.
