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Sagot :
Answer: b. false
Explanation:
The difference between deep learning and machine learning is not only about the presence of hidden layers in an artificial neural network.
While the number of hidden layers is a characteristic of deep learning, the distinction between machine learning and deep learning involves more aspects:
- Machine Learning (ML): ML is a broader field that includes a variety of algorithms and techniques for enabling computers to learn from data. It includes methods such as decision trees, support vector machines, and linear regression, many of which do not involve neural networks or hidden layers.
- Deep Learning (DL): DL a subset of machine learning that specifically uses neural networks with multiple layers (often referred to as deep neural networks). DL models are designed to automatically discover representations in data through layers of abstraction.
b. False, the difference between deep learning and machine learning is not a hidden layers there are in the artificial neural network.
The fundamental difference lies in their complexity and structure. Machine learning refers broadly to algorithms that learn from data, while deep learning specifically involves neural networks with multiple hidden layers that allow for hierarchical feature extraction.
Deep learning is a collection of statistical machine learning techniques used to learn feature hierarchies. These techniques are often based on artificial neural networks, and deep neural networks have more than one hidden layer. Each successive layer in a neural network uses features in the previous layer to learn more complex features.
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