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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.

Questi sono solo un piccolo campione della nostra biblioteca di oltre 10.000 domande. Le domande reali su questo Deep Learning Test sarà non googleabile.

🧐 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

Con Adaface, siamo stati in grado di ottimizzare il nostro processo di screening iniziale di oltre il 75%, liberando un tempo prezioso sia per i responsabili delle assunzioni che per il nostro team di acquisizione di talenti!


Brandon Lee, Capo delle persone, 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

I responsabili delle assunzioni hanno ritenuto che attraverso le domande tecniche che hanno posto durante le interviste del panel, sono stati in grado di dire quali candidati avevano punteggi migliori e si sono differenziati con coloro che non hanno segnato. Sono molto soddisfatto Con la qualità dei candidati selezionati con lo screening di Adaface.


85%
Riduzione del tempo di screening

FAQs

Posso combinare più competenze in una valutazione personalizzata?

Si assolutamente. Le valutazioni personalizzate sono impostate in base alla descrizione del tuo lavoro e includeranno domande su tutte le competenze indispensabili che specificate.

Hai in atto delle caratteristiche anti-cheat o procuratore?

Abbiamo in atto le seguenti caratteristiche anti-cheat:

  • Domande non googiche
  • Proctoring IP
  • procuratore web
  • Proctor di webcam
  • Rilevamento del plagio
  • Sicuro browser

Leggi di più sulle caratteristiche di procuratore.

Come interpreto i punteggi dei test?

La cosa principale da tenere a mente è che una valutazione è uno strumento di eliminazione, non uno strumento di selezione. Una valutazione delle competenze è ottimizzata per aiutarti a eliminare i candidati che non sono tecnicamente qualificati per il ruolo, non è ottimizzato per aiutarti a trovare il miglior candidato per il ruolo. Quindi il modo ideale per utilizzare una valutazione è decidere un punteggio di soglia (in genere il 55%, ti aiutiamo a benchmark) e invitiamo tutti i candidati che segnano al di sopra della soglia per i prossimi round di intervista.

Per quale livello di esperienza posso usare questo test?

Ogni valutazione di Adaface è personalizzata per la descrizione del tuo lavoro/ personaggio del candidato ideale (i nostri esperti in materia sceglieranno le domande giuste per la tua valutazione dalla nostra biblioteca di oltre 10000 domande). Questa valutazione può essere personalizzata per qualsiasi livello di esperienza.

Ogni candidato riceve le stesse domande?

Sì, ti rende molto più facile confrontare i candidati. Le opzioni per le domande MCQ e l'ordine delle domande sono randomizzate. Abbiamo anti-cheatri/procuratore in atto. Nel nostro piano aziendale, abbiamo anche la possibilità di creare più versioni della stessa valutazione con questioni di difficoltà simili.

Sono un candidato. Posso provare un test di pratica?

No. Sfortunatamente, al momento non supportiamo i test di pratica. Tuttavia, è possibile utilizzare le nostre domande di esempio per la pratica.

Qual è il costo dell'utilizzo di questo test?

Puoi controllare i nostri piani di prezzo.

Posso avere una prova gratuita?

Sì, puoi iscriverti gratuitamente e visualizzare in anteprima questo test.

Sono appena passato a un piano a pagamento. Come posso richiedere una valutazione personalizzata?

Ecco una rapida guida su come richiedere una valutazione personalizzata su Adaface.

Join 1200+ companies in 75+ countries.
Prova oggi lo strumento di valutazione delle competenze più candidati.
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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