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从零基础入门从零基础入门Tensorflow2.0 —-二、二、5.1 超参数搜索超参数搜索

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0. 前言前言

手动实现超参数搜索，下一节我们将讲利用skleran实现

1. 代码部分代码部分

1. 导入模块导入模块

import matplotlib as mpl

import matplotlib.pyplot as plt

import time

import tensorflow as tf

from tensorflow import keras

print(tf.__version__)

print(sys.version_info)

for module in mpl,np,pd,sklearn,tf,keras:

print(module.__name__,module.__version__)

2. 读取数据读取数据

from sklearn.datasets import fetch_california_housing

# 房价预测

from sklearn.model_selection import train_test_split

x_train_all,x_test,y_train_all,y_test = train_test_split(housing.data,housing.target,random_state=7)

x_train,x_valid,y_train,y_valid = train_test_split(x_train_all,y_train_all,random_state=11)

print(x_train.shape,y_train.shape)

print(x_valid.shape,y_valid.shape)

print(x_test.shape,y_test.shape)

4. 数据归一化数据归一化

# 归一化

from sklearn.preprocessing import StandardScaler

scaler = StandardScaler()