上篇講了概念的東西

實(shí)戰(zhàn)使用

泰坦尼克數(shù)據(jù)集，之前對(duì)它進(jìn)行數(shù)據(jù)預(yù)處理

可以閱讀上幾篇

import pandas as pd import keras import numpy as np data = pd.read_csv('./dataset/tt/train.csv') y = data.Survived x = data[['Pclass', 'Sex', 'Age', 'SibSp', 'Parch', 'Fare', 'Embarked']] x.loc[:, 'Embarked_S'] = (x.Embarked == 'S').astype('int') x.loc[:, 'Embarked_C'] = (x.Embarked == 'C').astype('int') x.loc[:, 'Embarked_Q'] = (x.Embarked == 'Q').astype('int') x.drop(['Embarked'],axis =1,inplace=True ) x.loc[:, 'Sex'] = (x.Sex == 'male').astype('int') x.loc[:, 'Age'] = x.Age.fillna(x.Age.mean()) x.loc[:, 'p1'] = (x.Pclass == 1).astype('int') x.loc[:, 'p2'] = (x.Pclass == 2).astype('

總結(jié)

以上是生活随笔為你收集整理的keras从入门到放弃(七）多层感知器训练的全部?jī)?nèi)容，希望文章能夠幫你解決所遇到的問(wèn)題。

如果覺(jué)得生活随笔網(wǎng)站內(nèi)容還不錯(cuò)，歡迎將生活随笔推薦給好友。