from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense

model = Sequential()
model.add(Dense(3, input_dim=1, name = 'hidden1'))
model.add(Dense(2, name = 'hidden2'))
model.add(Dense(1, name = 'outputs'))

#1. 전체 동결
# model.trainable = False

#2. 전체 동결
# for layer in model.layers:
#     layer.trainable = False

#3. 지정 동결
# print(model.layers[0]) #<keras.layers.core.dense.Dense object at 0x0000029D4BA237F0>
# model.layers[0].trainable = False #hidden1
model.layers[1].trainable = False #hidden2
# model.layers[2].trainable = False #outputs
# model.summary()

import pandas as pd

pd.set_option('max_colwidth', -1)
layers = [(layer, layer.name, layer.trainable)for layer in model.layers]
print(layers)
results = pd.DataFrame(layers, columns=['Layer Type', 'Layer Name', 'Layer Trainable'])
print(results)