HomeMachine Learning Tests
Artificial Neural Network Skills Test
Test duration:
30
min
No. of questions:
20
Level of experience:
Entry Level/Mid/Senior

Artificial Neural Network Skills Test

This is a comprehensive assessment that employers use to measure the machine learning skill level, conceptual knowledge in ML, and neural network skills of applicants and their employees.

This comprehensive, bias-free assessment helps measure an individual's proficiency in the deep learning subset of ML.

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Artificial Neural Network Skills Test

What is Artificial Neural Network Test?

ANNs are complex algorithms whose design is inspired by how the human mind's neurons work. These networks are hyper-intelligent and form the backbone of Deep Learning applications.

Knowledge of ANNs is pivotal for data scientists and machine learning engineers to create deep learning and perceptive AI modules to power enterprise applications and data analysis systems.

Why Use iMocha's Artificial Neural Networks Test?

Using iMocha's online test, you can assess an individual in Gradient Descent Algorithms, Data Normalization, Boltzmann Machine, and other concepts of ANN. This includes testing for in-depth knowledge of neural network tools and frameworks, ANN concepts, and more.

The test also reduces technical screening time by 80% while screening for specific technical capabilities in this field.

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How it works

Test Summary

This online test is flexibly designed to allow you to test your candidates or employees in the following aspects:

  • Activation and synaptic dynamics, including stability and convergence and activation models.
  • Conceptual knowledge: perceptrons, feedforward neural networks, recurrent neural networks, convolutional neural networks, and deep learning.
  • Tooling and framework knowledge: TensorFlow, Keras, PyTorch, and Caffe, and to use them to build and evaluate neural network models.
  • Skills in data processing: handling missing data, scaling and normalizing features, and selecting relevant features.
  • Model selection and evaluation
  • Feedforward and feedback neural network knowledge: pattern mapping, pattern storage network analysis, weight determination, stochastic networks, etc.

This skill test also allows you to perform a holistic candidate screening using several customizations for the difficulty levels, skills judged, and custom questions.

Useful for hiring
  • Machine Learning Expert
  • AI Engineer- (Crypto Trading)
  • Machine Learning Sensor Expert
  • ML Engineer
  • Machine Learning Consultant
  • AI Researcher
  • Data Scientist
Test Duration
30
min
No. of Questions
20
Level of Expertise
Entry Level/Mid/Senior
Topics Covered
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Sample Question
Choose from our 100,000+ questions library or add your own questions to make powerful custom tests.
Question type
Topics covered
Difficulty

Question:

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You can customize this test by

Setting the difficulty level of the test

Choose easy, medium, or tricky questions from our skill libraries to assess candidates of different experience levels.

Combining multiple skills into one test

Add multiple skills in a single test to create an effective assessment and assess multiple skills together.

Adding your own
questions to the test

Add, edit, or bulk upload your coding, MCQ, and whiteboard questions.

Requesting a tailor-made test

Receive a tailored assessment created by our subject matter experts to ensure adequate screening.
FAQ
How is this skills test customized?
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The iMocha platform allows you several customizations for this test. Customizations for related skills like ML, Python, Scikit-Learn, RPA, and more. You can adjust the difficulty level for each test. You can also enlist iMocha's SMEs to create tailor-made tests for targeted assessments.

What are the most common interview questions related to this field?
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Some of the most common questions for ANN skills are:

  • What is a perceptron?
  • What are Loss Functions used for?
  • What do you mean by Activation Functions in Neural Networks?
  • How do you initialize Weights and Biases in Neural Networks?
  • What do you mean by Gradient Descent? What are its types?
  • What is Data Normalization?

Navigate through our carefully selected Machine learning interview questions, thoughtfully structured to evaluate candidates' technical abilities and locate the perfect team fit.

What are the required skill sets to work on Artificial Neural Networks?
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You should have two sets of skills to work in a job role for ANNs:

Hard Skills

These are the technical skills you need to complete ANN tasks:

  • Knowledge of ML and its concepts
  • Understanding of concepts in neural networks
  • Probability and statistics
  • Data modeling and evaluation
  • Fundamentals of programming
  • Distributed computing

Soft Skills

You need these skills to perform within a collaborative setting:

  • Teamwork
  • Productivity under pressure
  • Interpersonal skills