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我正在尝试逐步建立混合模型，迭代添加子模型。

我首先构建和训练一个简单的模型。然后，我构建了一个稍微复杂一点的模型，其中包含所有原始模型，但层数更多。我想将训练后的权重从第一个模型移到新模型中。我怎样才能做到这一点？第一个模型嵌套在第二个模型中。

这是一个虚拟 MWE：

import numpy as np
import tensorflow as tf
from tensorflow.keras.layers import (concatenate, Conv1D,  Dense, LSTM)
from tensorflow.keras import Model, Input, backend

# data
x = np.random.normal(size = 100)
y = np.sin(x)+np.random.normal(size = 100)
# model 1
def make_model_1():
    inp = Input(1)
    l1 = Dense(5, activation = 'relu')(inp)
    out1 = Dense(1)(l1)
    model1 = Model(inp, out1)
    return model1

model1 = make_model_1()

model1.compile(optimizer = tf.keras.optimizers.SGD(),
               loss = tf.keras.losses.mean_squared_error)

model1.fit(x, y, epochs = 3, batch_size = 10)

# make model 2
def make_model_2():
    inp = Input(1)
    l1 = Dense(5, activation = 'relu')(inp)
    out1 = Dense(1)(l1)
    l2 = Dense(15, activation = 'sigmoid')(inp)
    out2 = Dense(1)(l2)
    bucket = tf.stack([out1, out2], axis=2)
    out = backend.squeeze(Dense(1)(bucket), axis = 2)
    model2 = Model(inp, out)
    return model2

model2 = make_model_2()

我如何将重量从 转移model1到model2？ 以一种自动且完全不知道这两个模型的性质的方式，除了它们是嵌套的？

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1 回答 1

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您可以简单地将训练后的权重加载到您感兴趣的新模型的特定部分。我通过创建model1into的新实例来做到这一点model2。之后，我加载训练好的权重。

这里是完整的例子

# data
x = np.random.normal(size = 100)
y = np.sin(x)+np.random.normal(size = 100)

# model 1
def make_model_1():
    
    inp = Input(1)
    l1 = Dense(5, activation = 'relu')(inp)
    out1 = Dense(1)(l1)
    model1 = Model(inp, out1)
    
    return model1

model1 = make_model_1()
model1.compile(optimizer = tf.keras.optimizers.SGD(),
               loss = tf.keras.losses.mean_squared_error)
model1.fit(x, y, epochs = 3, batch_size = 10)

# make model 2
def make_model_2(trained_model):
    
    inp = Input(1)

    m = make_model_1()
    m.set_weights(trained_model.get_weights())
    out1 = m(inp)
    
    l2 = Dense(15, activation = 'sigmoid')(inp)
    out2 = Dense(1)(l2)
    bucket = tf.stack([out1, out2], axis=2)
    out = tf.keras.backend.squeeze(Dense(1)(bucket), axis = 2)
    model2 = Model(inp, out)
    
    return model2

model2 = make_model_2(model1)
model2.summary()
于 2020-10-14T13:51:52.780 回答