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深度学习 — pronunciations, definitions, and tags
HanziPinyinEnglishTags
深度学习shēndùxuéxí深度学习 (shēndùxuéxí) refers to 'deep learning,' a subset of machine learning that uses neural networks with many layers to analyze various types of data. It is commonly used in artificial intelligence applications, such as image and speech recognition, and is a hot topic in technology and research environments.HSK 7, 32 strokes, Hard
shēndùxuéxí(shen1du4xue2xi2) T1
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May 27, 2026
深度学习shēndùxuéxí(shen1du4xue2xi2)

深度学习 (shēndùxuéxí) refers to 'deep learning,' a subset of machine learning that uses neural networks with many layers to analyze various types of data. It is commonly used in artificial intelligence applications, such as image and speech recognition, and is a hot topic in technology and research environments.

Strokes32Frequency#—DifficultyHard
Cultural Note

深度学习 has significant implications in China's push for technological advancement, particularly in AI development, reflecting the country's investment in becoming a global leader in technology.

Memory Tip

Imagine a deep ocean (深度) where layers of water (学习) represent different levels of understanding. Just as one must dive deeper to uncover ocean mysteries, deep learning dives into complex data layers to extract insights.

About 深度学习

深度学习Simplified
32Strokes
Radical
成语chéngyǔidiom (id.)Part of Speech
#—Frequency Rank
HSK 3.0L7AdvancedCEFRC2

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Podcast: 深度学习

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AI Study Notes for 深度学习

Memory Mnemonic

Imagine a deep ocean (深度) where layers of water (学习) represent different levels of understanding. Just as one must dive deeper to uncover ocean mysteries, deep learning dives into complex data layers to extract insights.

Usage Notes

Be careful not to confuse 深度学习 with other forms of learning, such as 机器学习 (machine learning), which is broader. This term is primarily used in technical and academic contexts, so it may not be appropriate for casual conversations.

HSK Study Tips

As a student at HSK level 7, focus on understanding the technical vocabulary related to artificial intelligence and data science, as 深度学习 is often discussed in these fields. Connect this term to other related words like 数据 (data) and 算法 (algorithm) to deepen your comprehension.

Cultural Note

深度学习 has significant implications in China's push for technological advancement, particularly in AI development, reflecting the country's investment in becoming a global leader in technology.

Common Mistakes

Learners often confuse 深度学习 with superficial learning concepts, leading to incorrect usage in sentences. For example, saying '我在学习深度' (I'm learning depth) instead of '我在学习深度学习' (I'm studying deep learning) is incorrect.

AI-enhanced 2026-05-27

Pronunciation of 深度学习

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Cultural Notes for 深度学习

🏮Cultural insight

深度学习 has significant implications in China's push for technological advancement, particularly in AI development, reflecting the country's investment in becoming a global leader in technology.

Frequently Asked Questions about 深度学习

深度学习 is a specific type of 机器学习 that uses deep neural networks, while 机器学习 encompasses a broader range of algorithms and methods.