人工智能该怎么样零基本入门
<span style="color: black;">非常多</span><span style="color: black;">伴侣</span>想学习人工智能，<span style="color: black;">不外</span>不知<span style="color: black;">怎样</span>入手，这篇<span style="color: black;">文案</span>就带你进入AI的世界<h2 style="color: black; text-align: left; margin-bottom: 10px;"><span style="color: black;">1、</span>语言</h2><div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://pic4.zhimg.com/80/v2-e27b4a31bda97fd3d904d30e69687ba3_720w.webp" style="width: 50%; margin-bottom: 20px;"></div>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">期盼</span>在进入这个<span style="color: black;">行业</span>之前 <span style="color: black;">最少</span>得会一门语言 Python。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">后面<span style="color: black;">能够</span>学学C<span style="color: black;">或</span>C++，<span style="color: black;">非常多</span>源码<span style="color: black;">亦</span>是C和C++的</p>
<h2 style="color: black; text-align: left; margin-bottom: 10px;"><span style="color: black;">2、</span>数学</h2>
<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://pic2.zhimg.com/80/v2-910fa3b3ccb65236b084b9eb646e9c15_720w.webp" style="width: 50%; margin-bottom: 20px;"></div>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">以及不想做调包侠的话，学通透得有比较好的数学<span style="color: black;">基本</span>：</p>
<h3 style="color: black; text-align: left; margin-bottom: 10px;">微积分 线性代数 概率论</h3><span style="color: black;">倘若</span>数学<span style="color: black;">基本</span><span style="color: black;">欠好</span><span style="color: black;">能够</span>先补一补，<span style="color: black;">否则</span>有些理解起来或许会很头疼。<h2 style="color: black; text-align: left; margin-bottom: 10px;"><span style="color: black;">3、</span>快速入门<span style="color: black;">设备</span>学习、深度学习</h2>
<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://pic4.zhimg.com/80/v2-737855f383a7ba68a6a5e045e4219a83_720w.webp" style="width: 50%; margin-bottom: 20px;"></div>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">举荐</span>我的启蒙书，复旦大学邱老师的开源书《神经网络与深度学习》</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">虽然本身市面上有<span style="color: black;">非常多</span><span style="color: black;">设备</span>学习，深度学习的书</p>西瓜书，统计学习<span style="color: black;">办法</span>，花书等等<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">我觉得各有优劣，<span style="color: black;">况且</span>眼花撩乱，一<span style="color: black;">起始</span>入门我觉得看NNDL就不错了。</p>
<h2 style="color: black; text-align: left; margin-bottom: 10px;"><span style="color: black;">4、</span>学习<span style="color: black;">最少</span>一个框架</h2>
<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://pic1.zhimg.com/80/v2-990ed88d067238a18db4d3e54d422264_720w.webp" style="width: 50%; margin-bottom: 20px;"></div>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">我个人是先学习的Pytorch，我<span style="color: black;">亦</span><span style="color: black;">意见</span>先学Pytorch，<span style="color: black;">由于</span>它很适合学习做<span style="color: black;">科研</span>。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">举荐</span>一本书开源书：《动手学深度学习 pytorch版》</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">在学习框架的过程中去实践，实现<span style="color: black;">有些</span>模型。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">框架<span style="color: black;">非常多</span>，后面<span style="color: black;">能够</span>多学学，<span style="color: black;">例如</span>TensorFlow</p>恭喜你 ！到此基本你<span style="color: black;">已然</span>入门了～<h2 style="color: black; text-align: left; margin-bottom: 10px;"><span style="color: black;">5、</span><span style="color: black;">选取</span>方向</h2>
<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://pic3.zhimg.com/80/v2-ad86c7f866ab911001a0d9441dfecf36_720w.webp" style="width: 50%; margin-bottom: 20px;"></div>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">针对</span>人工智能的方向有<span style="color: black;">非常多</span>，你要确定自己的方向。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">我的方向是自然语言处理</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">当然还有计算机视觉、<span style="color: black;">举荐</span>系统，强化学习等等。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">知道</span>方向后，对应的技术路线比比皆是，<span style="color: black;">而后</span>向专业方向挺进。</p>
<h2 style="color: black; text-align: left; margin-bottom: 10px;"><span style="color: black;">6、</span>好的习惯</h2>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">最好会读Paper，养成读Paper的习惯</p>网站<span style="color: black;">举荐</span>：<a style="color: black;">Paperswithcode</a>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">多实践：打<span style="color: black;">有些</span>比赛 Kaggle 天池等</p>学会做总结，写技术博客，分享知识。<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://pic4.zhimg.com/80/v2-d1157f8cb867141f7fc98107b04c6183_720w.webp" style="width: 50%; margin-bottom: 20px;"></div>
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感谢您的精彩评论，为我带来了新的思考角度。 我深受你的启发，你的话语是我前进的动力。
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