Deep Learning
This Deep Learning (DL) test evaluates candidates’ knowledge and ability to solve situational tasks using DL.
Multiple Choice
10 minutes
Covered skills
- Mathematical foundations of deep learning
- General neural network architecture and concepts
- Neural network optimisation and regularisation
- Image processing with neural networks
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.
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.


