Deep Learning Basics Quiz 1 > Data AI Revolution

Deep Learning Basics Quiz 1

This quiz is designed for beginners to test their knowledge of deep learning. You'll encounter questions covering neural networks, backpropagation, activation functions, and more. With 10 multiple-choice questions, you'll have the opportunity to deepen your understanding of this exciting AI field. Some questions may have multiple correct answers!

1 / 10

Which algorithm is typically used to update the weights in a neural network?

Random Forest

Backpropagation

Gradient Descent

K-Nearest Neighbors

2 / 10

What is Deep Learning?

A technique for classifying data

A way to structure databases

A subset of Machine Learning

A tool for statistical analysis

3 / 10

Which of the following are common regularization techniques used in deep learning?

Batch Normalization

Dropout

Gradient Clipping

L2 Regularization

4 / 10

What is the primary difference between shallow and deep learning models?

Shallow models can only be used for image processing

Shallow models have fewer layers

Deep learning models are more complex with multiple hidden layers

Deep learning models use less computational power

5 / 10

Which of the following neural networks is best suited for sequence data (e.g., time series, text)?

Recurrent Neural Networks (RNN)

Convolutional Neural Networks (CNN)

Generative Adversarial Networks (GANs)

Restricted Boltzmann Machines

6 / 10

What is a ‘loss function’ in deep learning?

A way to increase the accuracy of the model

A function used to measure the performance of a model

A function that evaluates how well the model's predictions match the actual data

A mechanism for reducing the model’s size

7 / 10

What is overfitting in the context of deep learning?

A model that perfectly generalizes to new data

A model performing very well on training data but poorly on new data

A model that requires too much memory to train

A model that underperforms on all datasets

8 / 10

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

To introduce non-linearity into the model

To activate the neurons at random

To normalize the input data

To convert input data into binary output

9 / 10

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

Long Short-Term Memory (LSTM)

Recurrent Neural Networks (RNN)

Convolutional Neural Networks (CNN)

Autoencoders

10 / 10

Which of the following are commonly used activation functions in deep learning?

Leaky ReLU

Softmax

ReLU

Sigmoid

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Deep Learning Basics Quiz 1

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