From keras models import sequential ошибка

first neural network with keras make predictions

from numpy import loadtxt
#from keras.models import Sequential
from tensorflow.keras.models import Sequential
from keras.layers import Dense

load the dataset

dataset = loadtxt(‘pima-indians-diabetes.csv’, delimiter=’,’)

split into input (X) and output (y) variables

X = dataset[:,0:8]
y = dataset[:,8]

define the keras model

model = Sequential()
model.add(Dense(12, input_dim=8, activation=’relu’))
model.add(Dense(8, activation=’relu’))
model.add(Dense(1, activation=’sigmoid’))

compile the keras model

model.compile(loss=’binary_crossentropy’, optimizer=’adam’, metrics=[‘accuracy’])
»’# fit the keras model on the dataset
model.fit(X, y, epochs=150, batch_size=10, verbose=0)»’

fit the keras model on the dataset without progress bars

model.fit(X, y, epochs=150, batch_size=10, verbose=0)

evaluate the keras model

_, accuracy = model.evaluate(X, y, verbose=0)

make class predictions with the model

predictions = model.predict_classes(X)

summarize the first 5 cases

for i in range(5):
print(‘%s => %d (expected %d)’ % (X[i].tolist(), predictions[i], y[i]))

I am also getting the same error. I am using Linux

from keras.preprocessing.text import Tokenizer
from keras.preprocessing.sequence import skipgrams
from keras.models import Sequential
from keras.layers import Embedding, Dense, Flatten
from keras.utils import np_utils

sentences = [line.strip() for line in open('alice_in_wonderland.txt') if line != 'n']

tokenizer = Tokenizer()
tokenizer.fit_on_texts(sentences)
corpus = tokenizer.texts_to_sequences(sentences)

V = len(tokenizer.index_word)+1
window_size = 1

model = Sequential()

model.add(Embedding(V, 64, input_length = 1))
model.add(Dense(V, activation = 'softmax'))
model.compile(loss= 'categorical_crossentropy', optimizer = 'rmsprop')

model.summary()

def generate_data(corpus, window_size, V):
    for sequence in corpus:
        idknow = skipgrams(sequence, V, window_size, negative_samples=0., shuffle= True)
        X, y = zip(*idknow[0])
        yield X, y

for epoch in range(10):
    loss = 0.
    for x, y in generate_data(corpus, window_size, V):
        print(x) 
        print(y)
        loss += model.train_on_batch(x, y)
        print(loss)

Во-первых:
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
embedding_1 (Embedding) (None, 1, 64) 169408
_________________________________________________________________
dense_1 (Dense) (None, 1, 2647) 172055
=================================================================

Почему кол-во параметров не одинаково?

Во-вторых:
Traceback (most recent call last):
File «xtest.py», line 38, in
loss += model.train_on_batch(x, y)
File «C:UsersadelsAppDataLocalProgramsPythonPython36libsite-packageskerasenginetraining.py», line 1209, in train_on_batch
class_weight=class_weight)
File «C:UsersadelsAppDataLocalProgramsPythonPython36libsite-packageskerasenginetraining.py», line 749, in _standardize_user_data
exception_prefix=’input’)
File «C:UsersadelsAppDataLocalProgramsPythonPython36libsite-packageskerasenginetraining_utils.py», line 91, in standardize_input_data
data = [standardize_single_array(x) for x in data]
File «C:UsersadelsAppDataLocalProgramsPythonPython36libsite-packageskerasenginetraining_utils.py», line 91, in
data = [standardize_single_array(x) for x in data]
File «C:UsersadelsAppDataLocalProgramsPythonPython36libsite-packageskerasenginetraining_utils.py», line 26, in standardize_single_array
elif x.ndim == 1:
AttributeError: ‘tuple’ object has no attribute ‘ndim’

Что за ошибка?

While importing keras (from keras.models import Sequential), I am getting the following error:

Traceback (most recent call last):

 File "/home/afzal/Deep cnn/cnn_deeplearningpgm/keras_cnn_new3.py",
 line 2, in <module>
     import keras   File "/usr/local/lib/python2.7/dist-packages/Keras-1.1.0-py2.7.egg/keras/__init__.py",
 line 2, in <module>
     from . import backend   File "/usr/local/lib/python2.7/dist-packages/Keras-1.1.0-py2.7.egg/keras/backend/__init__.py",
 line 29, in <module>
     _config = json.load(open(_config_path))   File "/usr/lib/python2.7/json/__init__.py", line 291, in load
     **kw)   File "/usr/lib/python2.7/json/__init__.py", line 339, in loads
     return _default_decoder.decode(s)   File "/usr/lib/python2.7/json/decoder.py", line 364, in decode
     obj, end = self.raw_decode(s, idx=_w(s, 0).end())   File "/usr/lib/python2.7/json/decoder.py", line 380, in raw_decode
     obj, end = self.scan_once(s, idx) ValueError: Expecting object: line 5 column 25 (char 108)

I have installed theano. Could anyone help me solve this?