如何计算全连接神经元参数
当前层的全连接参数=上一层神经元数x当前神经元数+当前神经偏移值数量
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
