deep learning

深度学习是机器学习领域中的一个新的分支，其动机在于模拟人类大脑的学习方式。它使用深度神经网络模型（DNN）来解释和分析数据，例如图像、声音和文本。深度学习是一种无监督学习方法，意味着它可以从未标记的数据中自动学习特征，并进行模式识别。与浅层学习相比，深度学习具有更深的层次结构，能够提供更好的语音识别、图像处理和自然语言处理等能力。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *2* [Deep Learning简介](https://blog.csdn.net/MyArrow/article/details/51176981)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
- *3* [深度学习deep learning](https://blog.csdn.net/qq_46458188/article/details/121594693)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
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