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Fix imports following Keras code reorganization #1240

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Fix imports following Keras code reorganization #1240

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6 changes: 3 additions & 3 deletions deep_learning4e.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,9 +4,9 @@
import statistics

import numpy as np
from keras import Sequential, optimizers
from keras.layers import Embedding, SimpleRNN, Dense
from keras.preprocessing import sequence
from tensorflow.keras import Sequential, optimizers
from tensorflow.keras.layers import Embedding, SimpleRNN, Dense
from tensorflow.keras.preprocessing import sequence

from utils4e import (conv1D, gaussian_kernel, element_wise_product, vector_add, random_weights,
scalar_vector_product, map_vector, mean_squared_error_loss)
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5 changes: 3 additions & 2 deletions perception4e.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,7 @@
from keras.datasets import mnist
from keras.layers import Dense, Activation, Flatten, InputLayer, Conv2D, MaxPooling2D
from keras.models import Sequential
from tensorflow.keras.utils import to_categorical

from utils4e import gaussian_kernel_2D

Expand Down Expand Up @@ -309,8 +310,8 @@ def load_MINST(train_size, val_size, test_size):
x_train /= 255
test_x = x_test.astype('float32')
test_x /= 255
y_train = keras.utils.to_categorical(y_train, 10)
y_test = keras.utils.to_categorical(y_test, 10)
y_train = to_categorical(y_train, 10)
y_test = to_categorical(y_test, 10)
return ((x_train[:train_size], y_train[:train_size]),
(x_train[train_size:train_size + val_size], y_train[train_size:train_size + val_size]),
(x_test[:test_size], y_test[:test_size]))
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