0基本学习人工智能应该从哪个基本初始呢?
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<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">倘若</span>有足够的数学<span style="color: black;">基本</span>，<span style="color: black;">意见</span>从卷积神经网络<span style="color: black;">起始</span>学。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><a style="color: black;">卷积神经网络</a></span>在<span style="color: black;">没</span>数实践中被证实，是非常实用。到<span style="color: black;">此刻</span>为止，衍生出了<span style="color: black;">非常多</span>新的模型，例如残差网络、以及适合强噪数据的<a style="color: black;">深度残差收缩网络</a>等。</p>
<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://pic1.zhimg.com/80/v2-a2023d51257dc1634418670382170569_720w.webp?source=1def8aca" style="width: 50%; margin-bottom: 20px;"></div>残差网络<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://picx.zhimg.com/80/v2-2ec780371ca242c0e676ae449c4a7cde_720w.webp?source=1def8aca" style="width: 50%; margin-bottom: 20px;"></div>深度残差收缩网络
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