tensorflow2.0基本操作，全连接层

import tensorflow as tf 
from 	tensorflow import keras





x = tf.random.normal([2, 3])#要喂进去的数值#两个列子，每个例子的维度是3



model = keras.Sequential([
		#全连接层
		keras.layers.Dense(2, activation='relu'),#dense为输入的维度
		keras.layers.Dense(2, activation='relu'),
		keras.layers.Dense(2)
	])
model.build(input_shape=[None, 3])

#查看网络结构
model.summary()

for p in model.trainable_variables:
	print(p.name, p.shape)