Advanced Level Deep Learning Exam

Deep learning test series is created by Examtruf. Students' competence to work with Deep Learning Algorithms is assessed through this online test series. Multiple Choice Questions (MCQ) should be practiced to improve the skills required for various assessments. To aid in your preparation for different certification exams or job interviews, use this Deep Learning MCQ Questions with Answers and Explanations.

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Created by Isaac Matthews

What you'll learn

Understand the fundamental concepts of deep learning.
Comprehensively comprehend the theory underlying principal component analysis

Curriculum

1

Advance Level Deep Learning Exam 1

Updated : 31st May 2021 | Duration : 35mins

2

Advance Level Deep Learning Exam 2

Updated : 31st May 2021 | Duration : 35mins
Pre-requisites
- At least high school math skills are required.
- Some prior experience with coding or scripting is required.
Target Audience
- College students
- Software Developers
- Anyone who is interested in Deep Learning
- Any intermediate-level persons with a basic understanding of Machine Learning or Deep Learning
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  You need only Internet Connection and browser.
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  Any time
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  Downloading option is not available.
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  The applicant has the freedom to select the exam date, time according to his or her choice. Practicality candidates will feel confident about giving the main exam later.
- What Kind Of Questions Examturf Supports?
  
  It supports almost all type of questions. Few to mention- - MCQ single correct - MCQ multiple correct (Ref. IIT JEE) - MCQ single correct like comprehensions or data interpretation (Ref. IIT JEE Questions paper and CAT) - True and False Integer Type (Ref. IIT JEE Questions paper) - Matrix match or the match the column type (Ref. IIT JEE Questions paper) - Linked questions - Assertion and Reasons type (Ref. UPSC CS - Prelims)
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About Author

Isaac is working as a Lead Data Scientist with a reputed company in Texas USA since 2013. He has a good knowledge of R, Python, and MATLAB. He is also having 7+ years of experience in SQL and NoSQL databases. His major responsibilities include managing a team of data scientists, machine learning, and big data specialists. He also ensures data quality and integrity. He also builds analytic systems and predictive models. He is very good at visualizing data and creating reports.

Isaac Matthews [ Head of Data Science ]

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242 students

70 mins

Medium