Test duration:
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Level of experience:
Entry Level/Mid

Keras Test

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Keras Online Test

Keras is a Python-based neural network library that helps to provide a Python interface for artificial neural networks. Keras allows users to productize deep models on smartphones (iOS and Android), the web, or the Java Virtual Machine. It also enables the use of distributed training of deep-learning models on clusters of Graphics processing units (GPU) and tensor processing units (TPU). Keras follows best practices for reducing cognitive load: it offers consistent and simple APIs for human beings. Keras helps to minimize the number of user actions required for everyday use cases and provides clear and actionable error messages.

Keras online test helps tech recruiters and hiring managers to assess deep learning skills with Keras. Keras skills test is designed by experienced subject matter experts (SMEs) to evaluate and hire machine learning developers as per industry standards.

Keras online test helps to screen the candidates who possess traits as follows: 

  • Strong knowledge of neural network models
  • Good experience with the sequential models and functions in Keras
  • Knowledge of various embedding layers and libraries
  • Experience in using deep learning in Keras

 Keras skills test is a secure and reliable way of candidate assessment. You can use our role-based access control feature to restrict system access based on the roles of individual users within the recruiting team. Features like window violation, image, audio & video proctoring help detect cheating during the test.

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Test Summary

This test may contain MCQs (Multiple Choice Questions), MAQs (Multiple Answer Questions), Fill in the Blanks, Whiteboard Questions, Audio / Video Questions, LogicBox (AI-based Pseudo-Coding Platform), Coding Simulators, True or False Questions, etc.

Useful for hiring
  • Data Scientist
  • AI/ML Developer
  • Python Developer
Test Duration
No. of Questions
Level of Expertise
Entry Level/Mid
Topics Covered

Deep Learning in Keras

Sequential Model in Keras


Neural Network Models


Functions in Keras


Embedding Library and Layers


Sample Question
Choose from our 100,000+ questions library or add your own questions to make powerful custom tests.
Question type
Topics covered


Q 1. For a sequential model defined in Keras, model.compile() function requires 2 parameters loss and optimizer to start compiling. What will happen if we pass some invalid arguments in model.compile()?

It will raise Value Error.
It will raise Attribute Error.
It will start compiling on default values of loss and optimizer.
None of the options.
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