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@Akaame Akaame/
Last active Feb 4, 2018

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from sklearn.model_selection import train_test_split
xtrain, xtest, ytrain, ytest = train_test_split(trainX,trainY,test_size=0.3,random_state=42, shuffle=True)
m = get_model((100, 1), 50)
m.compile(optimizer="sgd", loss="categorical_crossentropy", metrics=["accuracy"]), ytrain, batch_size=256, epochs=300, validation_data=(xtest, ytest))
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