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Update ConvolutionalNeuralNetwork_mnist.py #17

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16 changes: 8 additions & 8 deletions DEDA_Class_2017_MachineLearning/ConvolutionalNeuralNetwork_mnist.py
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from keras.datasets import mnist
from keras.utils import np_utils, plot_model
from keras.models import Sequential
from keras.layers.convolutional import Convolution2D, MaxPooling2D
from keras.layers import Activation, Flatten, Dense, Dropout
from keras.layers.normalization import BatchNormalization
from tensorflow.keras.datasets import mnist
from tensorflow.keras.utils import np_utils, plot_model
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers.convolutional import Convolution2D, MaxPooling2D
from tensorflow.keras.layers import Activation, Flatten, Dense, Dropout
from tensorflow.keras.layers.normalization import BatchNormalization
import numpy as np
import time
from keras.layers import SimpleRNN, Activation, Dense
from tensorflow.keras.layers import SimpleRNN, Activation, Dense
import matplotlib.pyplot as plt
from keras.models import load_model
from tensorflow.keras.models import load_model


def trainning_process(model_history):
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