What is ディープラーニング (Deep Learning)? What does it mean? Can you explain it specifically?

**What is Deep Learning?**

Deep Learning is a computer learning method that imitates the workings of the human brain and can discover complex patterns from large amounts of data[^1^]. Similar to the human brain, Deep Learning utilizes numerous interconnected units to process information[^1^]. By mimicking the functions of the human brain, Deep Learning enables computers to learn on their own[^1^].

**What is Deep Learning Used For?**

– Image Recognition: Deep Learning is used for recognizing objects and people in photos and videos[^2^]. For example, smartphone cameras can recognize faces in photographs using Deep Learning technology[^2^].

– Autonomous Driving: Deep Learning is also used in autonomous driving vehicles[^3^]. These vehicles analyze information from cameras and sensors to recognize other vehicles, pedestrians, and traffic signs, and drive accordingly[^3^].

By understanding the concept of Deep Learning and its practical applications in areas like image recognition and autonomous driving, you can gain insight into the capabilities of artificial intelligence technology.

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Tags: #ディープラーニング, #AI, #人工知能, #画像認識, #自動運転車

(Note: The video transcript is not available at the moment.)

[^1^]: [Explanation of Deep Learning (ディープラーニング) in Japanese](
[^2^]: [Applications of Deep Learning in Japanese](
[^3^]: [Deep Learning in Autonomous Driving in Japanese](

・ディープラーニング (Deep Learning)って何?どういう意味?具体的に説明すると?

・ディープラーニング (Deep Learning)って何?

・ディープラーニング (Deep Learning)何に使われている?具体的に説明すると?
画像認識: ディープラーニングは、写真やビデオから物体や人物を認識するのに使われます。例えば、スマートフォンのカメラは、写真に映っている人物の顔を認識することができます。これはディープラーニングの技術が使われています。

自動運転車: 自動運転車もディープラーニングを使用しています。自動運転車は、カメラやセンサーからの情報を解析して、他の車や歩行者、信号などを認識します。そして、その情報を元に適切に運転します。



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