How many computational layers, including the output layer, are in the example neural network?
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN ForwardStep Implement

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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
2
3
4
5
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the size of the weight matrix for the first computational layer if the input dimension is 10?
10 by 2
10 by 3
3 by 10
2 by 10
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the second computational layer, how many neurons are there?
4
3
2
1
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the forward step function primarily do?
Sets the input dimensions
Calculates the output of each layer
Initializes weights
Defines the number of neurons
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the output of the forward step function in the given example?
A tensor with five numbers
A single number
A matrix
A vector with two numbers
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
If the last layer has 5 neurons, what will the output be?
A matrix
A single number
A tensor with ten numbers
A vector with five numbers
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What topic is introduced at the end of the video?
Loss functions
Backward propagation
Activation functions
Weight initialization
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