Deep Learning Architectures MCQs With Answers

Welcome to the Deep Learning Architectures MCQs with Answers. In this post, we have shared Deep Learning Architectures Online Test for different competitive exams. Find practice Deep Learning Architectures Practice Questions with answers in Computer Tests exams here. Each question offers a chance to enhance your knowledge regarding Deep Learning Architectures.

Deep Learning Architectures Online Quiz

By presenting 3 options to choose from, Deep Learning Architectures Quiz which cover a wide range of topics and levels of difficulty, making them adaptable to various learning objectives and preferences. You will have to read all the given answers of Deep Learning Architectures Questions and Answers and click over the correct answer.

• Test Name: Deep Learning Architectures MCQ Quiz Practice
• Type: Quiz Test
• Total Questions: 40
• Total Marks: 40
• Time: 40 minutes

Note: Answer of the questions will change randomly each time you start the test. Practice each quiz test at least 3 times if you want to secure High Marks. Once you are finished, click the View Results button. If any answer looks wrong to you in Quizzes. simply click on question and comment below that question. so that we can update the answer in the quiz section.

---

Deep Learning Architectures Quiz

Please fill out the form before starting Quiz.

1 / 40

The Long Short-Term Memory (LSTM) architecture is an improvement over ________.

CNNs

GANs

RNNs

2 / 40

________ networks are useful for anomaly detection in time series data.

Autoencoders

GANs

CNNs

3 / 40

MobileNet architectures are designed for ________ environments.

Mobile

Desktop

Cloud

4 / 40

Variational Autoencoders (VAEs) are used for ________.

Generative modeling

Discriminative modeling

Feature selection

5 / 40

________ networks use attention mechanisms to focus on relevant parts of input sequences.

ResNet

Transformer

LSTM

6 / 40

Residual connections in ResNet help mitigate ________ during training.

Underfitting

Overfitting

Vanishing gradients

7 / 40

A Gated Recurrent Unit (GRU) combines ________ and ________ gates.

Input, Output

Forget, Update

Reset, Update

8 / 40

The ________ architecture is widely used for text generation tasks.

LSTM

GAN

Transformer

9 / 40

The VGG architecture is known for its ________ layers.

Recurrent

Shallow

Deep

10 / 40

The DenseNet architecture is known for its ________ connections between layers.

Recurrent

Sparse

Dense

11 / 40

The Transformer architecture is known for its application in ________.

Natural language processing

Image classification

Reinforcement learning

12 / 40

Autoencoders are used for ________.

Classification

Sequence prediction

Dimensionality reduction

13 / 40

________ networks are used for reducing the number of parameters in a model.

Pruning

GANs

CNNs

14 / 40

The ResNet architecture introduces ________ connections to address vanishing gradients.

Skip

Pooling

Recurrent

15 / 40

The Inception architecture uses ________ modules to process different scales of information.

Dense

Residual

Inception

16 / 40

Convolutional Neural Networks (CNNs) are primarily used for ________.

Image recognition

Natural language processing

Regression

17 / 40

________ are commonly used for time series forecasting.

RNNs

CNNs

GANs

18 / 40

________ networks are known for their ability to handle sequential data.

GANs

RNNs

CNNs

19 / 40

The WaveNet architecture is designed for ________ synthesis.

Video

Speech

Image

20 / 40

________ are designed for handling variable-length sequences.

GANs

RNNs

CNNs

21 / 40

________ architectures are well-suited for image super-resolution tasks.

RNNs

GANs

CNNs

22 / 40

________ networks use generative and discriminative components.

RNNs

CNNs

GANs

23 / 40

In an Autoencoder, the bottleneck layer is used for ________.

Classification

Latent representation

Output prediction

24 / 40

The ________ architecture is designed for handling variable-length inputs and outputs in sequence-to-sequence tasks.

LSTM

VGG

Transformer

25 / 40

Recurrent Neural Networks (RNNs) are suitable for ________.

Sequential data

Static images

Tabular data

26 / 40

The ________ architecture is efficient for object detection tasks.

LSTM

YOLO

ResNet

27 / 40

DenseNet improves gradient flow and feature reuse by using ________.

Recurrent connections

Dense connections

Skip connections

28 / 40

The U-Net architecture is commonly used in ________.

Medical image segmentation

Speech recognition

Sentiment analysis

29 / 40

Capsule Networks aim to overcome limitations in ________.

CNNs

RNNs

Autoencoders

30 / 40

________ are effective for learning embeddings from text data.

CNNs

Autoencoders

Word2Vec

31 / 40

________ architectures excel at generating high-quality images.

CNNs

GANs

RNNs

32 / 40

________ networks are used for learning from structured data.

RNNs

MLPs

CNNs

33 / 40

GANs consist of ________ and ________ networks.

Actor, Critic

Generator, Discriminator

Encoder, Decoder

34 / 40

The ________ architecture is effective for semantic segmentation tasks.

MobileNet

U-Net

VGG

35 / 40

In an LSTM cell, the ________ gate regulates information flow.

Input

Forget

Output

36 / 40

The ________ architecture is effective for capturing dependencies in sequential data.

Autoencoder

Transformer

Bi-directional LSTM

37 / 40

________ architectures have been successful in natural language processing tasks.

ResNet

Transformer

VGG

38 / 40

The ________ architecture is characterized by its hierarchical feature extraction.

Shallow

Deep

Recurrent

39 / 40

________ architectures are capable of generating new data samples.

CNNs

RNNs

GANs

40 / 40

________ networks are suitable for image classification tasks.

CNNs

GANs

RNNs

0%

Restart quiz

Download Certificate of Quiz Deep Learning Architectures

On the end of Quiz, you can download the certificate of the quiz if you got more than 70% marks. Add a certificate to your job application or social profile (like LinkedIn) and get more job offers.

Download Deep Learning Architectures MCQs with Answers Free PDF

You can also download 100 Deep Learning Architectures Questions with Answers free PDF from the link provided below. To Download file in PDF click on the arrow sign at the top right corner.

If you are interested to enhance your knowledge regarding  English, Physics, Chemistry, and Biology please click on the link of each category, you will be redirected to dedicated website for each category.