Based on the above data, answer the given subquestions.
Suppose we use a hard-threshold as an activation function for the neurons in the first hidden layer
and add/subtract the outputs from the first hidden layer to obtain the function. The hard
threshold function is defined to be
A published solution is not available for this question yet.
Based on the above data, answer the given subquestions.
The number of paths via which the input x1, that is the first element of **x**, affects the loss is
Note: Path is a directed edge that connects one neuron with other neuron
A published solution is not available for this question yet.
The statement that using vannila (plain) gradient descent algorithm always avoids oscillation
around local minimum while converging is
6406531564611.
TRUE
6406531564612.
FALSE
**PSM**
**Section Id :** 64065330378
**Section Number :** 7
**Section type :** Online
**Mandatory or Optional :** Mandatory
**Number of Questions :** 4
**Number of Questions to be attempted :** 4
**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.
