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kerasdldemo's Introduction

KerasDLDemo

Keras深度学习一些基础和Demo

Chapter-03

Chapter-05

评估深度学习模型 数据集为糖尿病数据集

Chapter-06

Keras中使用Scikit-Learn 数据集为糖尿病数据集

Chapter-07

  • 使用Keras+Sklearn+交叉验证进行分类

Chapter-08

  • Pipeline+KFold+GridSearchCV+Sklearn

Chapter-09

  • KerasClassifier+cross_val_score+KFold+StandardScaler+GridSearchCV

Chapter-10

多层感知机进阶

Chapter-11

Dropout与学习率衰减

Chapter-13

Mnist手写数字识别

Chapter-14

  • 特征标准化

  • ZCA白化

  • 随机旋转、移动、剪切和反转图像

  • 保存增强后的图像

Chapter-15

图像识别实例:CIFAR-10分类

Chapter-16

情感分类实例:IMDB影评情感分析

Chapter-18

MLP时间序列分析:国际旅行人数预测

Chapter-19

LSTM时间序列问题预测:国际旅行人数预测

Chapter-20

序列分类:IMDB影评分类

Chapter-21

多变量时间序列预测:PM2.5预报

参考自魏贞原老师的《深度学习 基于Keras的Python实战》,进行基础的知识概括与复习回顾

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