Learn how to count the hidden layers in a neural network for CNN certification exams. Detailed explanation with visual aid to help you master this critical concept. The neural network depicted in the provided images has 4 hidden layers.
Table of Contents
Question
How many hidden layers have the following Neural network?
A. 4
B. 5
C. 6
D. 7
Answer
A. 4
Explanation
Understand Neural Network Layers
- Input Layer: The leftmost layer, where data enters the network. In this case, it consists of the nodes on the far left.
- Output Layer: The rightmost layer, where the final predictions or classifications are made. This is the layer on the far right.
- Hidden Layers: The layers between the input and output layers. These layers process data through weighted connections and activation functions.
Counting Hidden Layers in the Images
- The images show a feedforward neural network with multiple layers of nodes.
- Between the input and output layers, there are 4 distinct intermediate layers of nodes connected by edges.
This question tests your ability to visually analyze and identify the structure of a neural network, a key skill for CNN certification and practical applications in deep learning.
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