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 NoneType' object is not subscriptable
#1
Can someone look at the issue. the problem lies at last two line 'x_val =x_train[:10000]
partial_x_train = x_train[10000:]' Though I'm not using putting other libraries, however, assuming that they are working fine and as I said the real problem exists in the end.

from keras.datasets import imdb
from keras import optimizers
from keras import losses
from keras import metrics
import numpy as np
(train_data, train_lables), (test_data, test_lables)=imdb.load_data(num_words=10000)
def vectorize_sequences(sequences, dimension=10000):
    results = np.zeros((len(sequences), dimension))
    print(results)
    for i, sequence in enumerate(sequences):
        results[i, sequence] = 1.
    return
x_train = vectorize_sequences(train_data)
x_test = vectorize_sequences(test_data)
y_train = np.asarray(train_lables).astype('float32')
y_test = np.asarray(test_lables).astype('float32') 
model = models.Sequential()
model.add(layers.Dense(16, activation='relu', input_shape=(10000,)))
model.add(layers.Dense(16, activation='relu'))
model.add(layers.Dense(1, activation='sigmoid'))
model.compile(optimizer='rmsprop',
loss='binary_crossentropy',
metrics=['accuracy'])
x_val =x_train[:10000]
partial_x_train = x_train[10000:]
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NoneType' object is not subscriptable - by shane1236 - Sep-10-2019, 07:39 PM

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