使用 tensorflow keras 在 python 代码中没有名为 'tensorflow.python.keras.engine.base_layer_v1' 的模块

Question

你好，我在 google colab 中执行此代码，但我遇到此错误 在 python 代码中没有名为 'tensorflow.python.keras.engine.base_layer_v1' 的模块与张量流 keras

我确实使用了 tensorflow.keras 而不是 keras，因为我使用的是 tensorflow v=2.1.0 和 keras v=2.3.0-tf

i tried both tensorflow  v=2.1.0 and v=2.2.0-rc2
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers
from tensorflow.keras.models import Sequential, load_model
from tensorflow.keras.callbacks import EarlyStopping
from tensorflow.keras.layers import Dense, Embedding, LSTM, SpatialDropout1D
from sklearn.model_selection import train_test_split

MAX_NB_WORDS=50000
EMBEDDING_DIM=100

model = tf.keras.Sequential()
model.add(Embedding(MAX_NB_WORDS, EMBEDDING_DIM, input_length=train.shape[1]))
model.add(SpatialDropout1D(0.2))
model.add(LSTM(100, dropout=0.2, recurrent_dropout=0.2))
model.add(Dense(13, activation='softmax'))
model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])
print(model.summary())

epochs = 5
batch_size = 64
history = model.fit(x_train, y_train, epochs=epochs, batch_size=batch_size, validation_split=0.1, callbacks=[EarlyStopping(monitor='val_loss', patience=3, min_delta=0.0001)])

accr = model.evaluate(x_test,y_test)
print('Test set\n  Loss: {:0.3f}\n  Accuracy: {:0.3f}'.format(accr[0],accr[1]))

Answer 1

我在使用 gaborNet-CNN 时遇到了类似的错误。我厌倦了跟随，它在我的情况下有效。

import numpy as np
from matplotlib import pyplot as plt
from tqdm import tqdm
import keras
from keras import backend as K
from keras import activations, initializers, regularizers, constraints, metrics
from keras.datasets import cifar10
from keras.preprocessing.image import ImageDataGenerator
from keras.models import Sequential, Model
from keras.layers import (Dense, Dropout, Activation, Flatten, Reshape, Layer,
                          BatchNormalization, LocallyConnected2D,
                          ZeroPadding2D, Conv2D, MaxPooling2D, Conv2DTranspose,
                          GaussianNoise, UpSampling2D, Input)
from keras.utils import conv_utils, multi_gpu_model
from keras.layers import Lambda
from keras.engine import Layer, InputSpec
from keras.legacy import interfaces

Answer 2

就我而言，我只是重新安装了 keras 并且它有效

使用 tensorflow keras 在 python 代码中没有名为 'tensorflow.python.keras.engine.base_layer_v1' 的模块

No module named 'tensorflow.python.keras.engine.base_layer_v1' in python code with tensor flow keras

python

deep-learning

tensorflow

google-colaboratory

tf.keras