TensorFlow Skills Test

Q: How is the TensorFlow skills test customized?

The iMocha platform allows you to include tests for skills related to TensorFlow, like assessments for programming languages. Using this test, you can assess various primary, secondary, and behavioral skills through a single dashboard. You can even determine the difficulty level for the test and customize the questions for it.

Q: What are the most common interview questions related to this skill?

You can consider asking the following questions during candidate interviews: What is a TensorBoard? What are tensors? How can you load data into this system? Describe the working of a TensorFlow algorithm. When will you find the overfit condition of a model in this system? What are the APIs used outside this software's project? Seeking a more custom set of questions? iMocha can help!

Q: What is the required skill set to work on TensorFlow?

Here is the list of hard and soft skills required for this domain: Hard Skills Data visualizations Neural networks Deep nets Python CSharp Datasets Tensors rank Matrix operations Functions and general concepts Soft Skills Teamwork Collaboration Interpersonal skills Communication Problem-Solving Detail Oriented

This test will help talent professionals make informed decisions while evaluating skills like Python, CSharp, datasets, tensors rank, matrix operations, communication, and more. Utilize this test to identify skill gaps in your employees and reduce the interview-to-hire ratio by 80%.

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TensorFlow Skills Test

It is an open-source platform for training and managing machine learning and AI systems. Professionals who work in this domain are required to solve learning and machine learning problems, making them a good fit for organizations seeking hands-skilled AI-enabled applications.‍

Why use iMocha's TensorFlow skills test?

Using this iMocha test, talent professionals can examine candidates' and employees' capabilities in building TensorFlow models using Computer Vision, Natural Language Processing, Convolutional Neural Networks, and more. The test analytics feature also allows you to compare candidate scores and make informed decisions about who to hire and where to put extra training efforts.

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How it works

Test Summary

This assessment test allows you to thoroughly screen your candidates regarding their capabilities in the following areas:

CSharp development skills
Python basics like Strings, Functions, and more.
Understanding datasets, data visualizations, classes, Tensor ranks, functions, matrix operations, neural networks, general concepts, tensors, computational graphs, variables, processes, and performance.
Proficiency of the candidates in using TensorFlow tools and frameworks, like Kera, Estimators, and TensorBoard.
Selection and evaluation skills in models for accuracy, precision, recall, and F1 score.
Skills in Deep Nets, recurrent neural networks, Word2Vec, and more.

This test also features various anti-cheating measures to eliminate cheating, like video proctoring and restricted access.

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