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Looking to master deep learning? Our Deep Learning Quizzes post is a must-visit resource for data science and statistics students! This comprehensive list features a variety of quizzes designed to challenge and enhance your understanding of key concepts like neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), optimization algorithms, and more. Whether you are preparing for exams, interviews, or real-world projects, these quizzes are tailored to help you assess your knowledge, identify gaps, and build confidence in applying deep learning techniques. Perfect for beginners and advanced learners alike, this collection is your gateway to excelling in AI and machine learning. Start quizzing today and take your skills to the next level!

Online Deep Learning Quizzes with Answers

Machine Learning Quizzes

Looking to challenge your understanding of deep learning? Our MCQS Deep Learning Quiz is the perfect way to test your knowledge! This online quiz features carefully crafted multiple-choice questions (MCQs) covering essential topics like business strategy neural networks (NN), convolutional neural networks (CNNs), recurrent neural networks (RNNs), optimization techniques, and more. Whether you are a beginner or an advanced learner, the MCQs Deep Learning Quiz helps you assess your skills, identify areas for improvement, and solidify your understanding of deep learning concepts. Dive in now and see how well you know the world of AI and machine learning! Let us start with the MCQs Deep Learning Quiz now.

Online MCQs Deep Learning with Answers

1. Among the following statements on Amazon Alexa, which is incorrect?

 Alexa uses LSTM (Long Short-Term Memory) RNN (Recurrent Neural Network) technology

 Alexa is a cloud based AI (Artificial Intelligence) personal assistant

 After Echo sends the user’s request to the ASP (Alexa Service Platform), a JSON (JavaScript Object Notation) text document is made at the ASP and is sent to the corresponding Skill on the Alexa cloud

 Alexa is used in Echo but not for the smaller and cheaper model Echo Dot

2. What is not a good way to become a leader in teaching and advising on how to effectively use ML (Machine Learning) to improve in business?

 Try to add more effective social networking skills to contribute to the ML advised new business plan

 Develop new KPIs (Key Performance Indicators) that will enable more effective in ML adoption into the company’s business structure

 Coach more efficient activities and people development skills and team work collaboration

 Remove the influence of ML related aspects in creative thinking and innovative designing

3. Which of the following is not a method of how ML & DL can be used in CRM (Customer Relationship Management)?

 Build a labelled dataset of customer sales records of up-sell, cross-sell, postponed, and withdrew transactions

 The manager should setup meetings to meet all customers personally and discuss management relations

 Correlate data with other customers based on age, gender, occupation, as well as living and working regions

 Correlate data with previous communications and online activity

4. Among the following statements on DL (Deep Learning) systems and applications, which is incorrect?

 LettuceBot uses DL (Deep Learning) to plant lettuce seeds with optimal spacing and conduct automatic fertilizer and herbicide spraying

 AIVA (Artificial Intelligence Virtual Artist) is a classical music composing DL system that is the first to be registered as a composer in the Authors’ right Society SACEM (Société des auteurs, compositeurs et éditeurs de musique)

 Voice Search is a speech recognition system used in Google smartphones

 Athelas is a DL based sports robotic system used in athlete training

5. Among the following statements on Amazon Alexa, which is incorrect?

 Alexa is used in Echo and Echo Dot

 Alexa uses ML (Machine Learning) techniques to continuously get smarter

 Since Alexa is fully installed on Echo, no network connection for Echo is required to receive Alexa services

 Alexa’s voice is generated from a LSTM (Long Short-Term Memory) RNN (Recurrent Neural Network)

6. Which of the following commonly consumes the most significant amount of time in the administration management workload?

 Strategy and innovation

 Solving problems and collaborating

 Administrative coordination and control

 Developing people and engaging with stakeholders

7. Among the following statements on DL (Deep Learning) applications, which is incorrect?

 DL technology is used in advanced handwriting recognition systems

 Samsung’s S Voice is a DL speech recognition system used on smartphones

 Computer vision and image processing systems have been using DL technology

 Google’s Voice Search is a DL automated program code generation system

8. Which of the following is not a recommended way to prepare for the ML (Machine Learning) business era?

 Save as much money as possible and retire before the ML era begins

 Make AI (Artificial Intelligence) do the routine administrative work

 Make AI do the report writing

 You do the decision making and judgment work based on ML analyzed information

9. Which of the following areas could be improved the most due to ML (Machine Learning) & DL (Deep Learning) technology?

 Developing people and engaging with stakeholders

 Administrative coordination and control

 Strategy and innovation

 Solving problems and collaborating

10. Among the following statements on DL (Deep Learning) systems, which is incorrect?

 Athelas is a computer vision based blood testing DL system

 AIVA (Artificial Intelligence Virtual Artist) draws oil painting type classical art pieces based on user selected famous artist styles

 Apple’s HomePod speaker will be capable of voice recognition to assist music playing and information retrieval

 LettuceBot is capable of distinguishing lettuce sprouts and weeds, and can correspondingly apply fertilizers or herbicides using DL (Deep Learning) technology

11. Which of the following is not a commonly expected phenomenon or characteristic of the influence of AI (Artificial Intelligence) on business?

 AI services will not be always available, so efficient time sharing among users is needed

 AI and robotics will result in lesser jobs

 Data protection is critical because AI accuracy is based on the data set used in training the AI system

 Customization of the AI system to the company characteristics, business data, and context is important

12. Among the following application areas corresponding to data types that are used in businesses with DL (Deep Learning) and ML (Machine Learning) technology, which is incorrect?

 Human sentiment is too complex and obscure to detect, which makes it hard to use in business sales or CRM (Customer Relationship Management)

 Theme detection DL & ML technology is used in finance estimation and prediction systems

 Threat detection systems deployed government facilities use real-time processing DL & ML technology

 Motion detection DL & ML technology is used in games and robotics

13. Among the following statements on IR (Industrial Revolutions), which is incorrect?

 First IR driving technologies include the iron industry, steam engine, and the textile industry

 Second IR started in 1870 and ended right before World War II

 
Future IR will be highly influenced by DL (Deep Learning) and ML (Machine Learning) technology

 Third IR is also called the “digital revolution” due to significant advancements in digital electronics and ICT (Information & Communications Technology) technology

 Second IR was based on mass production due to new technologies based on electric power, oil, and steel

14. Among the following statements on the pros and cons of DL (Deep Learning), which is incorrect?

 One of the pros of DL systems is the reduced need for feature engineering and that they are adaptable to multiple problem domains

 One of the pros of DL systems is the cheap cost

 One of the cons of DL is the difficulty in interpretation

 One of the cons of DL systems is the long training time

15. Among the following statements on Amazon Alexa, Echo, and Echo Dot, which is incorrect?

 Alexa uses advanced ASR (Automated Speech Recognition) and NLU (Natural Language Understanding) technology

 Alexa’s Skills can be created for Echo and Echo Dot using the ASK (Alexa Skills Kit) Developer kit

 JSON (JavaScript Object Notation) text document is executed inside Echo to create a new Skill for Alexa

 ASP (Alexa Service Platform) uses a DL (Deep Learning) speech recognition engine to detect words of intent and parameters

16. Among the following statements on IBM Watson, which is incorrect?

 Watson’s Chatbot is a physician assisting system to help reduce diagnostic errors while informing new treatment methods

 DeepQA includes functionalities such as IR (Information Retrieval), NLP (Natural-Language Processing), and KR&R (Knowledge Representation & Reasoning)

 AdaptWatson is the AI (Artificial Intelligence) algorithm used in Watson that works with the DeepQA question and answering system

 IMB Watson’s cancer diagnosis capability was tested in India, which resulted in a very high concordance rate

17. Among the following statements on IBM Watson, which is incorrect?

 AdaptWatson and DeepQA are not used together in IBM Watson because they are the same system with different release version names

 DeepQA includes functionalities such as IR (Information Retrieval), NLP (Natural-Language Processing), and KR&R (Knowledge Representation & Reasoning)

 AdaptWatson is the AI algorithm used in Watson that performs question understanding and candidate answer searching

 Watson uses the DeepQA architecture for QA (Question-Answering) processing

18. Among the following statements on IR (Industrial Revolutions), which is incorrect?

 3IR was from the 1980s to 2000 and had a World-Wide influence

 2IR was from 1870 to WWI (World War I) in 1914 in America, Europe, Japan, and other countries

 3IR is called the “Digital Revolution” due to driving technologies which include the Internet, ICT (Information & Communications Technology), and the PC (Personal Computer)

 1IR occurred during the 18th to 19th centuries in Europe and America

19. Which of the following is not a commonly expected phenomenon or characteristic of the influence of AI (Artificial Intelligence) on business?

 Data protection is critical because AI accuracy is based on the data set used in training the AI system

 AI and robotic services will be always available

 Customization of the AI system to the company characteristics, business data, and context is important

 AI and robotics will result in more jobs

20. Among the following statements on IBM Watson, which is incorrect?

 Legal research and financial services are applications of IBM Watson

 Chatbot and weather forecasting are applications of IBM Watson

 Concordance Watson is a new popularity rate control monitoring system used by TV broadcast companies

 Watson for Oncology is a physician assisting system to help reduce diagnostic errors while informing new treatment methods

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Online MCQs Deep Learning Quiz with Answers

• Among the following statements on IR (Industrial Revolutions), which is incorrect?
• Among the following statements on DL (Deep Learning) systems and applications, which is incorrect?
• Among the following statements on IBM Watson, which is incorrect?
• Among the following statements on Amazon Alexa, which is incorrect?
• Among the following statements on IR (Industrial Revolutions), which is incorrect?
• Among the following statements on DL (Deep Learning) applications, which is incorrect?
• Among the following statements on IBM Watson, which is incorrect?
• Among the following statements on IBM Watson, which is incorrect?
• Among the following statements on Amazon Alexa, which is incorrect?
• Among the following statements on Amazon Alexa, Echo, and Echo Dot, which is incorrect?
• Among the following statements on DL (Deep Learning) systems, which is incorrect?
• Which of the following areas could be improved the most due to ML (Machine Learning) & DL (Deep Learning) technology?
• Which of the following is not a commonly expected phenomenon or characteristic of the influence of AI (Artificial Intelligence) on business?
• Among the following statements on the pros and cons of DL (Deep Learning), which is incorrect?
• Among the following application areas corresponding to data types that are used in businesses with DL (Deep Learning) and ML (Machine Learning) technology, which is incorrect?
• Which of the following commonly consumes the most significant amount of time in the administration management workload?
• Which of the following is not a commonly expected phenomenon or characteristic of the influence of AI (Artificial Intelligence) on business?
• Which of the following is not a recommended way to prepare for the ML (Machine Learning) business era?
• Which of the following is not a method of how ML & DL can be used in CRM (Customer Relationship Management)?
• What is not a good way to become a leader in teaching and advising on how to effectively use ML (Machine Learning) to improve in business?

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