Learn about the Delta Rule in neural networks, a supervised learning method for minimizing error by adjusting weights based on the difference between desired and actual outputs. Understand its application and significance in machine learning.
Table of Contents
Question
In Delta Rule for error minimization
A. Weights are adjusted with respect to difference between desired output and actual output
B. Weights are adjusted with respect to difference between input and output
C. Weights are adjusted with respect to change in the output
D. None of the above
Answer
A. Weights are adjusted with respect to difference between desired output and actual output
Explanation
In Delta Rule for error minimization, the weights are adjusted with respect to difference between desired output and actual output.
Explanation of the Delta Rule
The Delta Rule, also known as the Least Mean Squares (LMS) rule, is a supervised learning algorithm used to train artificial neural networks. It minimizes errors in a single-layer perceptron by adjusting the weights of connections between neurons. The primary goal is to reduce the difference between the desired output (target value) and the actual output produced by the network.
Why Option A is Correct
The Delta Rule explicitly adjusts weights based on the difference between desired and actual outputs, making Option A accurate. Option B (difference between input and output) and Option C (change in output) do not align with how weights are updated using this rule.
Applications
- Training simple neural networks, such as single-layer perceptrons.
- Forming the foundation for more complex algorithms like backpropagation in multi-layer networks.
By minimizing errors iteratively, the Delta Rule ensures that neural networks learn effectively during training.
Convolutional Neural Network CNN certification exam assessment practice question and answer (Q&A) dump including multiple choice questions (MCQ) and objective type questions, with detail explanation and reference available free, helpful to pass the Convolutional Neural Network CNN exam and earn Convolutional Neural Network CNN certification.