如何计算全连接神经元参数?
模型源码为:
from tensorflow.keras import models
from tensorflow.keras import layers
network = models.Sequential()
network.add(layers.Dense(504, activation='relu', input_shape=(504,)))
network.add(layers.Dense(11, activation='softmax'))
network.summary()
输出:
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense (Dense) (None, 504) 254520
_________________________________________________________________
dense_1 (Dense) (None, 11) 5555
=================================================================
Total params: 260,075
Trainable params: 260,075
Non-trainable params: 0
_________________________________________________________________
在第一行中,dense中的254520是怎么计算呢?
其计算方式如下: