Python for Deep Learning - Build Neural Networks in Python - What is Deep Learning?

The video tutorial introduces deep learning, a subset of machine learning, which itself is a subset of artificial intelligence. It aims to clarify these terms and their relationships. Artificial intelligence involves creating machines that can think intelligently, while machine learning uses algorithms to extract insights from data. Deep learning, a branch of machine learning, focuses on artificial neural networks inspired by the human brain. The course promises to provide a clear understanding of these concepts by the end.

Which of the following best describes the relationship between artificial intelligence, machine learning, and deep learning?

• Artificial intelligence is a subset of machine learning, which is a subset of deep learning.

• Machine learning is a subset of deep learning, which is a subset of artificial intelligence.

• Deep learning is a subset of machine learning, which is a subset of artificial intelligence.

• Deep learning is a subset of artificial intelligence, which is a subset of machine learning.

What is the primary goal of artificial intelligence?

• To develop algorithms that can extract insights from data.

• To create machines that can perform tasks without any programming.

• To create machines that can think intelligently.

• To design neural networks inspired by the human brain.

How does machine learning differ from conventional programming?

• Machine learning extracts rules from data and results.

• Machine learning does not use any data.

• Machine learning requires explicit programming for each task.

• Machine learning uses predefined rules to get results.

What is a key characteristic of deep learning?

• It uses decision trees to analyze data.

• It relies on neural networks inspired by the human brain.

• It does not require any historical data.

• It is not related to machine learning.

Which algorithm is primarily used in deep learning?

• Decision Trees

• K-Nearest Neighbors

• Support Vector Machines

• Neural Networks