ML-Deep learning Introduction

ML-Deep learning Introduction

University

•

25 Qs

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ML-Deep learning Introduction

ML-Deep learning Introduction

Assessment

Quiz

•

Computers

•

University

•

Practice Problem

•

Hard

Created by

KarunaiMuthu SriRam

Used 4+ times

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25 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Deep learning is a subfield of machine learning that focuses on algorithms inspired by the structure and function of:

Human brain

Classical mechanics

Quantum physics

Genetic algorithms

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following is a fundamental building block in a deep learning model?

Decision tree

Naive Bayes classifier

Perceptron

k-Nearest Neighbors (k-NN)

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is the primary advantage of using deep learning models over traditional machine learning models?

Better interpretability

Faster training time

Ability to handle high-dimensional data

Smaller computational requirements

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What type of neural network layer is responsible for learning hierarchical features from the input data?

Activation layer

Dense layer

Convolutional layer

Pooling layer

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which deep learning architecture is commonly used for sequential data processing, such as natural language processing and speech recognition?

Convolutional Neural Network (CNN)

Recurrent Neural Network (RNN)

Transformer

Generative Adversarial Network (GAN)

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

The process of adjusting the weights and biases in a neural network to minimize the error during training is known as:

Backpropagation

Gradient descent

Stochastic optimization

Reinforcement learning

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is the "ReLU" activation function commonly used in deep learning?

Rectified Linear Unit

Logistic sigmoid

Hyperbolic tangent

Softmax

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