This Deep Learning (DL) test evaluates candidates’ knowledge and ability to solve situational tasks using DL. This screening test will help you hire developers who are proficient in DL and capable of using it to solve business problems.
Mathematical foundations of deep learning
General neural network architecture and concepts
Neural network optimization and regularization
Image processing with neural networks
Deep learning engineers, machine-learning engineers, artificial intelligence engineers, data analysts, and any other roles requiring intermediate knowledge of deep learning.
In our age of information and technologies, any business deals with massive data. It is crucial to efficiently get insights about it to make various decisions, and deep learning can help to solve that task, saving the time and resources required for traditional analysis techniques.
Deep Learning provides efficient solutions for dealing with different types of data — it is able to get meaningful insights about it and even make predictions for future values. Questions in this test focus on different scenarios when working with data, and DL provides functionality for dealing with all of them. Questions in the test are related to all core DL models included in supervised, unsupervised, and reinforcement learning techniques.
Candidates who perform well on the test must have a fundamental knowledge of core Deep Learning approaches and can make the best use of each one when working with different types of information. The test assures that candidates have all the necessary skills to help the company achieve its goals.
Gary has been working in the data science field for more than three years and is proficient in the fields of machine learning and data analysis. He has a Bachelor’s degree in Economics and a Master’s degree in Computer Science. The combination of those two fields helps Gary to achieve even greater results. He is fond of computer science and loves to work on projects related to Artificial Intelligence which is, in his opinion, the future of our world.
TestGorilla’s tests are created by subject matter experts. We assess potential subject-matter experts based on their knowledge, ability, and reputation. Before being published, each test is peer-reviewed by another expert, then calibrated using hundreds of test takers with relevant experience in the subject. Our feedback mechanisms and unique algorithms allow our subject-matter experts to constantly improve their tests.
TestGorilla helps me to assess engineers rapidly. Creating assessments for different positions is easy due to pre-existing templates. You can create an assessment in less than 2 minutes. The interface is intuitive and it’s easy to visualize results per assessment.
VP of engineering, mid-market (51-1000 FTE)
Any tool can have functions—bells and whistles. Not every tool comes armed with staff passionate about making the user experience positive.
The TestGorilla team only offers useful insights to user challenges, they engage in conversation.
For instance, I recently asked a question about a Python test I intended to implement. Instead of receiving “oh, that test would work perfectly for your solution,” or, “at this time we’re thinking about implementing a solution that may or may not…” I received a direct and straightforward answer with additional thoughts to help shape the solution.
I hope that TestGorilla realizes the value proposition in their work is not only the platform but the type of support that’s provided.
For a bit of context—I am a diversity recruiter trying to create a platform that removes bias from the hiring process and encourages the discovery of new and unseen talent.
Chief Talent Connector, small business (50 or fewer FTE)
Our screening tests identify the best candidates and make your hiring decisions faster, easier, and bias-free.
Building assessments is a breeze with TestGorilla. Get started with these simple steps.
The Deep Learning test will be included in a PDF report along with the other tests from your assessment. You can easily download and share this report with colleagues and candidates.