Homework Help is Here – Start Your Trial Now!
Engineering
Computer Engineering
1 Describe your reaction to the speaker's examples of the OPPORTUNITIES presented by "deep learning". Describe and comment on each of the following examples of deep learning. The speaker maintains that computers can: ● ● ● learn to do things that we actually sometimes don't know how to do ourselves and maybe they can do them better than humans. (automatic drug discovery) listen and understand. "Deep learning now in fact is near human performance at understanding what sentences are about and what it is saying about those things." (Chinese text-to-speech system) understand what they see and can search databases of hundreds of millions of images in real time (German Traffic Sign Recognition Benchmark; ImageNet competition; Google maps every location in France in 2 hours) write. "In tests, humans prefer the computer-generated caption one out of four times."

1 Describe your reaction to the speaker's examples of the OPPORTUNITIES presented by "deep learning". Describe and comment on each of the following examples of deep learning. The speaker maintains that computers can: ● ● ● learn to do things that we actually sometimes don't know how to do ourselves and maybe they can do them better than humans. (automatic drug discovery) listen and understand. "Deep learning now in fact is near human performance at understanding what sentences are about and what it is saying about those things." (Chinese text-to-speech system) understand what they see and can search databases of hundreds of millions of images in real time (German Traffic Sign Recognition Benchmark; ImageNet competition; Google maps every location in France in 2 hours) write. "In tests, humans prefer the computer-generated caption one out of four times."

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
See similar textbooks
icon
Related questions
Question
https://www.ted.com/talks/jeremy howard the wonderful and terrifying implications of computers that can learn 1 Describe your reaction to the speaker's examples of the OPPORTUNITIES presented by "deep learning". Describe and comment on each of the following examples of deep learning. The speaker maintains that computers can: ● 2. ● learn to do things that we actually sometimes don't know how to do ourselves and maybe they can do them better than humans. (automatic drug discovery) listen and understand. "Deep learning now in fact is near human performance at understanding what sentences are about and what it is saying about those things." (Chinese text-to-speech system) understand what they see and can search databases of hundreds of millions of images in real time (German Traffic Sign Recognition Benchmark; ImageNet competition; Google maps every location in France in 2 hours) write. "In tests, humans prefer the computer-generated caption one out of four times." List and explain at LEAST TWO potential CONCERNS regarding deep learning that were expressed by the speaker? Be specific about the information provided in the video as well as describing your own concerns.
Transcribed Image Text:https://www.ted.com/talks/jeremy howard the wonderful and terrifying implications of computers that can learn 1 Describe your reaction to the speaker's examples of the OPPORTUNITIES presented by "deep learning". Describe and comment on each of the following examples of deep learning. The speaker maintains that computers can: ● 2. ● learn to do things that we actually sometimes don't know how to do ourselves and maybe they can do them better than humans. (automatic drug discovery) listen and understand. "Deep learning now in fact is near human performance at understanding what sentences are about and what it is saying about those things." (Chinese text-to-speech system) understand what they see and can search databases of hundreds of millions of images in real time (German Traffic Sign Recognition Benchmark; ImageNet competition; Google maps every location in France in 2 hours) write. "In tests, humans prefer the computer-generated caption one out of four times." List and explain at LEAST TWO potential CONCERNS regarding deep learning that were expressed by the speaker? Be specific about the information provided in the video as well as describing your own concerns.
Expert Solution
steps

Step by step

Solved in 3 steps

SEE SOLUTIONCheck out a sample Q&A here
Blurred answer
Recommended textbooks for you
Computer Networking: A Top-Down Approach (7th Edi…
Computer Networking: A Top-Down Approach (7th Edi…
Computer Engineering
ISBN:
9780133594140
Author:
James Kurose, Keith Ross
Publisher:
PEARSON
Computer Organization and Design MIPS Edition, Fi…
Computer Organization and Design MIPS Edition, Fi…
Computer Engineering
ISBN:
9780124077263
Author:
David A. Patterson, John L. Hennessy
Publisher:
Elsevier Science
Network+ Guide to Networks (MindTap Course List)
Network+ Guide to Networks (MindTap Course List)
Computer Engineering
ISBN:
9781337569330
Author:
Jill West, Tamara Dean, Jean Andrews
Publisher:
Cengage Learning
Concepts of Database Management
Concepts of Database Management
Computer Engineering
ISBN:
9781337093422
Author:
Joy L. Starks, Philip J. Pratt, Mary Z. Last
Publisher:
Cengage Learning
Prelude to Programming
Prelude to Programming
Computer Engineering
ISBN:
9780133750423
Author:
VENIT, Stewart
Publisher:
Pearson Education
Sc Business Data Communications and Networking, T…
Sc Business Data Communications and Networking, T…
Computer Engineering
ISBN:
9781119368830
Author:
FITZGERALD
Publisher:
WILEY
SEE MORE TEXTBOOKS