Best 20 Deep Learning Interview Questions & Answers 2021

Deep learning is form of artificial intelligence (AI) using which human brain process data and create patterns for use in decision making algorithms. Deep learning is also a subset of machine learning language through artificial intelligence uses networks, capable of learning unsupervised from data that is unstructured or unlabeled. Also known as deep neural learning or deep neural network.

What is Neural Network ?

The human brain contains billions of cells called Neurons. The structure of a neuron is depicted in the above image.
Neural Networks is a set of algorithms designed to learn the way our brain works.
The biological neurons inspire the structure and the functions of the neural networks.

Ingression Deep Learning

Designing a Learning Process involves the following:

Learning Paradigm
Having a model from the environment in which Neural Network works.

Learning Rules
Figuring out the rules that aid in updating the weights.

Learning Algorithms
Identifying the procedure to update the weights according to the learning rules.

Deep Learning Spreads

The following are the various Learning Paradigms in Neural Networks:

  • Supervised
  • Unsupervised
  • Reinforcement

Learning Principles

A Neural Network works based on two principles, namely:

  • Forward Propagation
  • Backward Propagation

Neural Network Architecture

The architecture of a Neural Network can be broadly classified into two, namely:

  • Feed Forward Artificial Neural Network
  • Recurrent Neural Network

Neural Networks are employed in various fields. Following are a few types of Neural Networks that we will explore in this section:

  • Radial Basis Function
  • Long/Short Term Memory
  • Gated Recurrent Unit
  • Autoencoder
  • Convolutional Neural Networks

Learning Algorithms


Following are a few Deep Learning algorithms:

  • Adaptive Resonance Theory
  • Kohonen Self Organization Map
  • ADALINE
  • Perceptron
  • Backpropagation

Ingression Deep Learning Questions and Answers

As the amount of data increases, the performance of Machine Learning algorithms __.
Select the best answer from below options:
a) increases
b) decreases

Answer:-b) decreases

__ function is also known as Transfer Function.
Select the best answer from below options:
a) Activation
b) Summation

Answer:-a) Activation

Which of the following is a type of Recurrent Neural Network?
Select the best answer from below options:
a) Hopfield Network
b) All the options
c) Jordan Network
d) Elman Network

Answer:-b) All the options

In __, information must flow from input to output only in one direction.
Select the best answer from below options:
a) Recurrent Neural Network
b) Feed Forward Network

Answer:-b) Feed Forward Network

__ tool supports the use of GPU.
Select the best answer from below options:
a) H2O.aiH_{2}O.aiH?2??O.ai
b) Turi

Answer:-b) Turi

__ activation function is the most commonly used activation function in Neural networks.
Select the best answer from below options:
a) Non-Linear
b) Linear

Answer:-a) Non-Linear

There is no exact formula for calculating the number of hidden layers, as well as the number of neurons in each hidden layer.
Select the best answer from below options:
a) False
b) True

Answer:-b) True

Deep Learning can process an enormous amount of ___.
Select the best answer from below options:
a) Structured Data
b) Both the options
c) Unstructured Data

Answer:-b) Both the options

Feedback loops are allowed in ___.
Select the best answer from below options:
a) Recurrent Neural Network
b) Feed Forward Network

Answer:-a) Recurrent Neural Network

The following are tools offered by deepnet platforms, except __.
Select the best answer from below options:
a) Deepnet Capability
b) H2O.aiH_{2}O.aiH?2??O.ai
c) Data Munging

Answer:-b) H2O.aiH_{2}O.aiH?2??O.ai

In Deep Learning, __.
Select the best answer from below options:
a) Features have to be fed to the model
b) Features are picked by the network

Answer:-b) Features are picked by the network

Radial Basis Function Neural Network uses ___ function as the Activation Function.
Select the best answer from below options:
a) Logistic
b) Linear

Answer:-a) Logistic

__ is a technique which helps machines to mimic human behavior.
Select the best answer from below options:
a) Machine Learning
b) Artificial Intelligence
c) Deep Learning

Answer:-b) Artificial Intelligence

The ___ layer is responsible for extracting the features required from the input.
Select the best answer from below options:
a) Hidden
b) Input
c) Output

Answer:-a) Hidden

Conclusion:

  • Deep learning is an AI function that mimics the workings of the human brain in processing data for use in detecting objects, recognizing speech, translating languages, and making decisions.
  • Deep learning AI is able to learn without human supervision, drawing from data that is both unstructured and unlabeled.
  • Deep learning, a form of machine learning, can be used to help detect fraud or money laundering, among other functions.

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