【发布时间】:2022-07-19 22:28:14
【问题描述】:
model = tf.keras.models.Sequential([ tf.keras.layers.Conv2D(16,(3,3),activation= 'relu', input_shape =(200,200,3)), tf.keras.layers.MaxPool2D(2,2),
tf.keras.layers.Conv2D(32,(3,3),activation= 'relu'.
tf.keras.layers.MaxPool2D(2,2),
tf.keras.layers.Conv2D(64,(3,3),activation= 'relu'.
tf.keras.layers.MaxPool2D(2,2),
tf.keras.layers.Flatten(),
tf.keras.layers.Dense(512,activation= 'relu'),
tf.keras.layers.Dense(1,activation='sigmoid')
])
【问题讨论】:
标签: python tensorflow keras conv-neural-network