恢复经过训练的tensorflow模型，编辑与节点关联的值，然后保存

import tensorflow as tf

model = tf.keras.models.load_model('path/to/model.h5')

model.summary()

# 获取模型的某个层
layer = model.get_layer('layer_name')

# 获取层的权重和偏置
weights = layer.get_weights()[0]
biases = layer.get_weights()[1]

# 修改权重和偏置的值
new_weights = # 编辑后的权重值
new_biases = # 编辑后的偏置值

# 设置层的新权重和偏置
layer.set_weights([new_weights, new_biases])

model.save('path/to/modified_model.h5')