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< 全部学习路线
< 全部学习路线
人工智能学习路线
5
大
学习阶段
30
门
在线课程
22
个
实战案例
424
课时
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算法原理、框架精讲、机器学习实战、图像识别实战、自然语言处理实战，人工智能技术一站式学习
学前小测验
学前小测验
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机器学习入门
TensorFlow框架及常用库
机器学习实战
自然语言处理实战
图像识别实战
【动手实验室】
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学习路线
阶段 1：机器学习入门
3门课程 | 128课时
学习前要求：Python编程基础（
Python学习路线
），数学基础（线性代数、概率论、数理统计）。
学习后将掌握：机器学习和深度学习的概念，常用的机器学习算法和神经网络算法。
一键加入所有课程
机器学习概览及常用算法
免费
13课时
开始学习
机器学习算法详解
免费
79课时
开始学习
神经网络基础
免费
36课时
开始学习
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阶段 2：TensorFlow框架及常用库
4门课程 | 78课时
学习前要求：Python编程基础，了解常用的机器学习算法原理及实现，一定的英语读能力。
学习后将掌握：TensorFlow的基本使用，常用的Python科学计算库的使用。
一键加入所有课程
深度学习框架TensorFlow入门
免费
24课时
开始学习
科学计算库NumPy快速入门
免费
14课时
开始学习
数据分析库Panda快速入门
免费
22课时
开始学习
数据可视化库Matplotlib快速入门
免费
18课时
开始学习
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阶段 3：机器学习实战
9门课程 I 94课时
学习前要求：了解常用机器学习算法、神经网络，了解TensorFlow框架及Python相关库的使用方法。
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15课时
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14课时
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基于LSTM的文本情感分析
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7课时
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RNN时间序列分析
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使用Word2vec进行文本分类
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10课时
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阶段 4：自然语言处理实战
7门课程 | 67课时
学习前要求：了解神经网络，了解TensorFlow框架及Python相关库的使用方法。
学习后将掌握：机器学习/深度学习技术在自然语言处理（NLP）领域的实战应用。
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5课时
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文本相似度分析
¥ 9.9
8课时
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阶段 5：图像识别实战
7门课程 I 57课时
学习前要求：了解神经网络，了解TensorFlow框架及Python相关库的使用方法。
学习后将掌握：机器学习/深度学习技术在图像识别处理领域的实战应用。
人脸检测
¥ 9.9
17课时
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猫狗识别
¥ 9.9
6课时
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行为识别
¥ 9.9
4课时
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验证码识别
¥ 9.9
5课时
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CIFAR图像分类
¥ 9.9
10课时
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图像超分辨率重构
¥ 9.9
10课时
立即购买
图像修复
¥ 9.9
10课时
立即购买
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课程合作伙伴
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