Deep Learning Quiz

When did deep learning first start gaining popularity?

• 2000s

• 1990s

• 2010s

• 1980s

Which of the following best describes deep learning?

• A type of unsupervised learning

• A subset of machine learning that uses neural networks with many layers

• A branch of artificial intelligence that focuses on reinforcement learning

• A technique used for decision trees

What is the primary goal of deep learning?

• To create machines that can think like humans

• To improve the performance of classical algorithms

• To learn complex patterns from large amounts of data through neural networks

• To solve linear equations efficiently

Who is considered one of the pioneers in the field of deep learning?

• Geoffrey Hinton

• Alan Turing

• Andrew Ng

• Yann LeCun

What was one of the major breakthroughs that helped deep learning become more effective in the 2010s?

• Availability of large datasets and improved computing power

• The invention of the decision tree algorithm

• New optimization methods for clustering algorithms

• The development of the k-means algorithm

Which of the following is a common application of deep learning?

• Email filtering

• Self-driving cars

• Speech recognition

• All of the above

What is the main difference between traditional machine learning and deep learning?

• Deep learning doesn’t require data, while traditional ML does

• Deep learning uses neural networks with many layers, while traditional ML often uses simpler models

• Deep learning requires less data than traditional ML

• Traditional ML is slower than deep learning

What is the function of an activation function in a neural network?

• To initialize the weights of the model

• To decide whether a neuron should be activated or not

• To calculate the gradient

• To optimize the loss function

Why is deep learning particularly useful for working with unstructured data like images, audio, and text?

• It can only handle structured data

• It can automatically extract features from raw data

• It requires minimal data preprocessing

• It performs better with smaller datasets

Which type of neural network is commonly used for image recognition tasks?

• Recurrent Neural Networks (RNN)

• Convolutional Neural Networks (CNN)

• Long Short-Term Memory Networks (LSTM)

• Generative Adversarial Networks (GAN)