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Deep Learning Online Test

About the test:

The deep learning pre-employment test evaluates a candidate's understanding of core deep learning concepts like activation functions, backpropagation, RNNs & CNNs, learning rate, dropout, batch normalization, data processing pipelines, multi-layer perceptrons and data normalization. This test also focuses on their ability to apply deep learning algorithms to use cases like computer vision, image recognition, object detection, text classification etc.

Covered skills:

  • Neural Networks
  • Multi-layer Perceptron
  • Hidden Layer
  • Data Normalization
See all covered skills

9 reasons why
9 reasons why

Adaface Deep Learning Online Test is the most accurate way to shortlist Deep Learning Engineers



Reason #1

Tests for on-the-job skills

The Deep Learning Online Test helps recruiters and hiring managers to identify qualified candidates from a pool of resumes, and helps in taking objective hiring decisions. It reduces the administrative overhead of interviewing too many candidates and saves time by filtering out unqualified candidates.

The Adaface Deep Learning Online test screens candidates for the typical skills recruiters look for Deep Learning Engineer roles:

  • Experience designing and building deep learning models
  • Expertise in turning unstructured data into useful information
  • Experience solving complex problems with multi-layered data sets, and optimizing existing machine learning libraries and frameworks

The insights generated from this assessment can be used by recruiters and hiring managers to identify the best candidates for the Deep Learning Engineer role. Anti-cheating features enable you to be comfortable with conducting assessments online. The Deep Learning Engineer test is ideal for helping recruiters identify which candidates have the skills to do well on the job.

Reason #2

No trick questions

Traditional assessment tools use trick questions and puzzles for the screening, which creates a lot of frustration among candidates about having to go through irrelevant screening assessments.

The main reason we started Adaface is that traditional pre-employment assessment platforms are not a fair way for companies to evaluate candidates. At Adaface, our mission is to help companies find great candidates by assessing on-the-job skills required for a role.

Why we started Adaface ->
Reason #3

Non-googleable questions

We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.

Estes são apenas uma pequena amostra da nossa biblioteca de mais de 10.000 perguntas. As perguntas reais sobre isso Deep Learning Test será não-googleable.

🧐 Question

Medium

Changed decision boundary
Solve
We have trained a model on a linearly separable training set to classify the data points into 2 sets (binary classification). Our intern recently labelled some new data points which are all correctly classified by the model. All of the new data points lie far away from the decision boundary. We added these new data points and re-trained our model- our decision boundary changed. Which of these models do you think we could be working with?
The 2 data sources use SQL Server and have a 3-character CompanyCode column. Both data sources contain an ORDER BY clause to sort the data by CompanyCode in ascending order. 

Teylor wants to make sure that the Merge Join transformation works without additional transformations. What would you recommend?
A: Perceptron
B: SVM
C: Logistic regression
D: Guassion discriminant analysis

Hard

n-gram generator
Solve
Our newest machine learning developer want to write a function to calculate the n-gram of any text. An N-gram means a sequence of N words. So for example, "black cats" is a 2-gram, "saw black cats" is a 3-gram etc. The 2-gram of the sentence "the big bad wolf fell down" would be [["the", "big"], ["big", "bad"], ["bad", "wolf"], ["wolf", "fell"], ["fell", "down"]]. Can you help them select the correct function for the same?
 image
🧐 Question🔧 Skill

Medium

Changed decision boundary
2 mins
Deep Learning
Solve

Hard

n-gram generator
2 mins
Machine Learning
Solve
🧐 Question🔧 Skill💪 Difficulty⌛ Time
Changed decision boundary
Deep Learning
Medium2 mins
Solve
n-gram generator
Machine Learning
Hard2 mins
Solve
Reason #4

1200+ customers in 75 countries

Brandon

Com o Adaface, fomos capazes de otimizar nosso processo de triagem inicial em mais de 75%, liberando tempo precioso para os gerentes de contratação e nossa equipe de aquisição de talentos!


Brandon Lee, Chefe das pessoas, Love, Bonito

Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Deep Learning Test in your hiring process is that it is an elimination tool, not a selection tool. In other words: you want to use the test to eliminate the candidates who do poorly on the test, not to select the candidates who come out at the top. While they are super valuable, pre-employment tests do not paint the entire picture of a candidate’s abilities, knowledge, and motivations. Multiple easy questions are more predictive of a candidate's ability than fewer hard questions. Harder questions are often "trick" based questions, which do not provide any meaningful signal about the candidate's skillset.

Reason #6

1 click candidate invites

Email invites: You can send candidates an email invite to the Deep Learning Test from your dashboard by entering their email address.

Public link: You can create a public link for each test that you can share with candidates.

API or integrations: You can invite candidates directly from your ATS by using our pre-built integrations with popular ATS systems or building a custom integration with your in-house ATS.

Reason #7

Detailed scorecards & comparative results

Reason #8

High completion rate

Adaface tests are conversational, low-stress, and take just 25-40 mins to complete.

This is why Adaface has the highest test-completion rate (86%), which is more than 2x better than traditional assessments.

Reason #9

Advanced Proctoring


About Deep Learning Engineer Roles

Deep learning is a subfield of machine learning that imitates the way humans gain certain types of knowledge.

Typical responsibilities of a Deep Learning Engineer include:

  • Perform statistical analysis
  • Design and develop Machine Learning and Deep Learning models
  • Train and re-train ML systems and models
  • Extend and enrich existing frameworks and libraries
  • Run tests, perform statistical analysis, and interpret test results

What roles can I use the Deep Learning Test for?

  • Deep Learning Engineer
  • Research Engineer - Deep Learning
  • Machine Learning Engineer

What topics are covered in the Deep Learning Online Test?

Deep Learning
Neural Network
Hidden Layer
Multi-layer Perceptron
Data Normalization
Boltzmann Machine
Activation Function
Cost Function
Gradient Descent
Backpropagation
Feedforward Neural Network
Recurrent Neural Network
ReLU
Hyperparameters
Learning Rate
Batch Normalization
Batch Gradient Descent
Stochastic Gradient Descent
Overfitting
Underfitting
Pooling Layer
Long-Short-Term Memory
Exploding Gradient
Epoch
Generative Adversarial Network
Computer Vision
Object Detection
Auto-encoder
Boosting
Singapore government logo

Os gerentes de contratação acharam que, através das perguntas técnicas que fizeram durante as entrevistas do painel, foram capazes de dizer quais candidatos tinham pontuações melhores e se diferenciaram com aqueles que não marcaram também. Eles são altamente satisfeito com a qualidade dos candidatos selecionados com a triagem do Adaface.


85%
Redução no tempo de triagem

FAQs

Posso combinar várias habilidades em uma avaliação personalizada?

Sim absolutamente. As avaliações personalizadas são configuradas com base na descrição do seu trabalho e incluirão perguntas sobre todas as habilidades obrigatórias que você especificar.

Você tem algum recurso anti-trapaça ou procurador?

Temos os seguintes recursos anti-trapaça:

  • Perguntas não-goleadas
  • IP Proctoring
  • Web Proctoring
  • Proctoring da webcam
  • Detecção de plágio
  • navegador seguro

Leia mais sobre os Recursos de Proctoring.

Como interpreto as pontuações dos testes?

O principal a ter em mente é que uma avaliação é uma ferramenta de eliminação, não uma ferramenta de seleção. Uma avaliação de habilidades é otimizada para ajudá -lo a eliminar os candidatos que não são tecnicamente qualificados para o papel, não é otimizado para ajudá -lo a encontrar o melhor candidato para o papel. Portanto, a maneira ideal de usar uma avaliação é decidir uma pontuação limite (normalmente 55%, ajudamos você a comparar) e convidar todos os candidatos que pontuam acima do limiar para as próximas rodadas da entrevista.

Para que nível de experiência posso usar este teste?

Cada avaliação do Adaface é personalizada para a descrição do seu trabalho/ persona do candidato ideal (nossos especialistas no assunto escolherão as perguntas certas para sua avaliação de nossa biblioteca de mais de 10000 perguntas). Esta avaliação pode ser personalizada para qualquer nível de experiência.

Todo candidato recebe as mesmas perguntas?

Sim, facilita muito a comparação de candidatos. As opções para perguntas do MCQ e a ordem das perguntas são randomizadas. Recursos anti-traking/proctoring no local. Em nosso plano corporativo, também temos a opção de criar várias versões da mesma avaliação com questões de níveis de dificuldade semelhantes.

Eu sou um candidato. Posso tentar um teste de prática?

Não. Infelizmente, não apoiamos os testes práticos no momento. No entanto, você pode usar nossas perguntas de amostra para prática.

Qual é o custo de usar este teste?

Você pode conferir nossos planos de preços.

Posso obter uma avaliação gratuita?

Sim, você pode se inscrever gratuitamente e visualizar este teste.

Acabei de me mudar para um plano pago. Como posso solicitar uma avaliação personalizada?

Aqui está um guia rápido sobre Como solicitar uma avaliação personalizada no Adaface.

Join 1200+ companies in 75+ countries.
Experimente a ferramenta de avaliação de habilidades mais amigáveis ​​de candidatos hoje.
Ready to use the Adaface Deep Learning Test?
Ready to use the Adaface Deep Learning Test?
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40 min tests.
No trick questions.
Accurate shortlisting.
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