成都旅游住宿哪里便宜又方便,seoaoo,网络广告类型,在线 代理 输入网址文章目录 基础MLP网络1.回归任务2.分类任务mlp及深度学习常见技巧1.基础模型2.权重初始化3.激活函数4.优化器5.批正则化6.dropout基础MLP网络
1.回归任务 import tensorflow as tf
import tensorflow.keras as keras
import tensorflow.keras.layers as layers# 导入数据
(x_t… 文章目录 基础MLP网络1.回归任务2.分类任务 mlp及深度学习常见技巧1.基础模型2.权重初始化3.激活函数4.优化器5.批正则化6.dropout 基础MLP网络
1.回归任务 import tensorflow as tf
import tensorflow.keras as keras
import tensorflow.keras.layers as layers# 导入数据
(x_train, y_train), (x_test, y_test) = keras.datasets.boston_housing.load_data()
print(x_train.shape, ' ', y_train.shape)
print(x_test.shape, ' ', y_test.shape)#%%# 构建模型model = keras.Sequential([layers.Dense(32, activation='sigmoid', input_shape=(13,)),la
