Table of Contents
Question
How is an artificial neural network related to machine learning?
A. An artificial neural network uses preprogrammed responses instead of learning.
B. An artificial neural network is a machine learning technique.
C. An artificial neural network is an earlier form of machine learning.
D. An artificial neural network does not require programming like a machine learning system.
Answer
B. An artificial neural network is a machine learning technique.
Explanation 10
The correct answer is B. An artificial neural network is a machine learning technique.
An artificial neural network (ANN) is a computational model inspired by the structure and functioning of biological neural networks. It consists of interconnected nodes, called artificial neurons or units, which process and transmit information. These nodes are organized in layers, with input nodes receiving data, hidden nodes performing computations, and output nodes providing the final result.
Machine learning, on the other hand, is a broader field that encompasses various techniques and algorithms that enable computers to learn from data and make predictions or decisions without being explicitly programmed. Machine learning algorithms learn patterns and relationships from the data through training, enabling the system to improve its performance over time.
Artificial neural networks are one of the fundamental techniques within the field of machine learning. They are particularly well-suited for tasks such as pattern recognition, classification, regression, and clustering. Neural networks learn from data by adjusting the weights and biases of the connections between neurons, optimizing the network’s ability to make accurate predictions or classifications.
- Option A, “An artificial neural network uses preprogrammed responses instead of learning,” is incorrect. Neural networks do not rely on preprogrammed responses; instead, they learn from data through training.
- Option C, “An artificial neural network is an earlier form of machine learning,” is also incorrect. Artificial neural networks are not an earlier form of machine learning but rather a specific technique within the broader field of machine learning. Machine learning encompasses a wide range of methods beyond neural networks.
- Option D, “An artificial neural network does not require programming like a machine learning system,” is incorrect. Both artificial neural networks and machine learning systems require programming. While the training process of a neural network involves adjusting the weights and biases, it still requires programming to define the network architecture, implement the training algorithm, and handle the data flow.
In summary, an artificial neural network is a machine learning technique that uses interconnected nodes to process and transmit information, allowing the network to learn patterns and make predictions from data.
Reference
- What are Neural Networks? | IBM
- Artificial neural network – Wikipedia
- Artificial Neural Networks for Machine Learning – Every aspect you need to know about – DataFlair (data-flair.training)
- AI vs. Machine Learning vs. Deep Learning vs. Neural Networks: What’s the difference? (ibm.com)
- How MNCs benefited from AI/ML. Lets see how the companies are using… | by kore arvind | Medium
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