Deep Learning is the subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks. Deep learning is one aspect of artificial intelligence (AI) that is concerned with emulating humans’ learning approach to gain certain types of knowledge. In simple terms, deep learning can be thought of as a way to automate predictive analytics.
The deep learning online test helps to hire managers & recruiters to find the best suitable candidates by assessing their ability to work on deep neural network models. The deep learning assessment test questions are designed & validated by industry experts to assess & hire deep learning engineers per industry standards.
The online deep learning test helps to screen the candidates who possess the following traits:
1. Excellent understanding of Machine Learning algorithms & principles
2. Ability to work on Deep NN models for image classification, object detection, and semantic segmentation
3. Strong experience in developing Deep Learning Neural Networks on mobile platforms
4. Ability to build data processing pipelines and Deep Learning algorithms for sequencing data
iMocha’s powerful reporting & intelligent analytics will help you overview candidates' performance in each section within a glance. The candidate feedback module will ensure candidates have an excellent experience with iMocha.
The deep learning assessment test contains the latest & high-quality set of scenario-based questions to assess the operational experience of the candidate. Moreover, you can add your own questions as per the job requirement.
The deep learning skills test will evaluate the candidate’s practical knowledge and will identify whether the candidate is ready to be employed.
The deep learning pre-employment test may contain MCQs (Multiple Choice Questions), MAQs (Multiple Answer Questions), Fill in the Blanks, Descriptive Questions, Whiteboard Questions, Audio / Video Questions, AI-LogicBox (AI-based Pseudo-Coding Platform), Coding Simulations, True or False Questions, etc.
Your boss asked you to do sentiment analysis using convolutional neural networks.
Knowing that convolutional neural networks are well-known for good performance in images, how will you react?
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