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< 全部学习路线
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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
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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(
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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
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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 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
免费试看
猫狗识别
¥ 9.9
6课时
免费试看
行为识别
¥ 9.9
4课时
免费试看
验证码识别
¥ 9.9
5课时
免费试看
CIFAR图像分类
¥ 9.9
10课时
免费试看
图像超分辨率重构
¥ 9.9
10课时
免费试看
图像修复
¥ 9.9
10课时
免费试看
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