What is deep learning? Provide a brief definition and explain its fundamental principle.

Answer explanation

Deep learning is a subset of machine learning that uses neural networks with multiple layers to learn complex patterns and representations from data.

Which of the following applications is suitable for deep learning?

• • a. Text editing

  
  

• • b. Image recognition

  
  

• • c. Financial calculations

  
  

• • d. 3D printing

What type of applications is deep learning most suitable for?

• • a. Text editing

  
  

• • b. Image recognition

  
  

• • c. Financial calculations

  
  

• • d. 3D printing

Which area benefits the most from deep learning technology?

• • a. Healthcare

  
  

• • b. Agriculture

  
  

• • c. Construction

  
  

• • d. Retail

What is a common use case for deep learning in the field of robotics?

• • a. Autonomous navigation

  
  

• • b. Music composition

  
  

• • c. Weather forecasting

  
  

• • d. Sports analysis

What is the difference between a list and a tuple in Python?

• • List (list): Represents an ordered collection of items that can be changed or modified. Lists are defined by square brackets, e.g., [1, 'hello', 3.14].

  
  

• • Tuple (tuple): Represents an ordered collection of items that cannot be changed or modified. Tuples are defined by parentheses, e.g., (1, 'hello', 3.14).

  
  

• • Dictionary (dict): Represents a collection of key-value pairs. Dictionaries are defined by curly braces, e.g., {'key1': 'value1', 'key2': 'value2'}.

  
  

• both a and b

The tool that allows you to execute code and analyze data interactively is:

• TensorFlow

• Anaconda

• • c. Jupyter Notebook

  
  

• • d. Keras

What is the primary advantage of using convolutional neural networks (CNNs) in image recognition tasks?

• a. Ability to learn spatial hierarchies of features

• b. Efficient handling of text data

• c. Superior performance in financial analysis

• d. Specialized for 3D modeling

Which industry has shown significant adoption of natural language processing (NLP) powered by deep learning?

• a. Automotive

• b. Entertainment

• c. Energy

• d. Healthcare

What role does transfer learning play in the context of deep learning models?

• a. It allows models to transfer data between different devices

• b. It enables models to transfer knowledge from one task to another

• c. It helps models to transfer data to cloud servers

• d. It facilitates models to transfer data across different programming languages