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."

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**Exploring the Opportunities and Concerns of Deep Learning**

**1. Opportunities of Deep Learning**

Describe your reaction to the speaker's examples of the opportunities presented by "deep learning." Evaluate each example of deep learning provided by the speaker:

- **Learning Capabilities:** The speaker highlights that computers have the capability to perform tasks that humans may not know how to do, potentially executing them more effectively than humans. An example is in the field of automatic drug discovery.

- **Listening and Understanding:** According to the speaker, deep learning has advanced significantly, reaching levels close to human performance in understanding sentences and their meanings, as demonstrated by Chinese text-to-speech systems.

- **Visual Understanding:** Computers equipped with deep learning can interpret images, searching extensive databases of images in real-time. This is illustrated by systems like the German Traffic Sign Recognition Benchmark, ImageNet competition, and Google Maps' ability to map every location in France in just two hours.

- **Writing Proficiency:** In writing tasks, the speaker notes that computer-generated captions are preferred by humans over human-created captions one out of every four times.

**2. Concerns of Deep Learning**

- Reflect on and list at least two potential concerns regarding deep learning, as expressed by the speaker. Provide a detailed account of these issues based on the video and augment them with your own insights and concerns.
Transcribed Image Text:**Exploring the Opportunities and Concerns of Deep Learning** **1. Opportunities of Deep Learning** Describe your reaction to the speaker's examples of the opportunities presented by "deep learning." Evaluate each example of deep learning provided by the speaker: - **Learning Capabilities:** The speaker highlights that computers have the capability to perform tasks that humans may not know how to do, potentially executing them more effectively than humans. An example is in the field of automatic drug discovery. - **Listening and Understanding:** According to the speaker, deep learning has advanced significantly, reaching levels close to human performance in understanding sentences and their meanings, as demonstrated by Chinese text-to-speech systems. - **Visual Understanding:** Computers equipped with deep learning can interpret images, searching extensive databases of images in real-time. This is illustrated by systems like the German Traffic Sign Recognition Benchmark, ImageNet competition, and Google Maps' ability to map every location in France in just two hours. - **Writing Proficiency:** In writing tasks, the speaker notes that computer-generated captions are preferred by humans over human-created captions one out of every four times. **2. Concerns of Deep Learning** - Reflect on and list at least two potential concerns regarding deep learning, as expressed by the speaker. Provide a detailed account of these issues based on the video and augment them with your own insights and concerns.
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